Open-weight model
knee-cartilage-segmentation
by Kunal Mahajan ChodBhangra/knee-cartilage-segmentation
Automated multi-class knee cartilage segmentation on magnetic resonance imaging (MRI) scans from the Osteoarthritis Initiative (OAI / OAIZIB-CM).
Parameters—
Context—
Weights28.8 GB
License—
AccessOpen weights
Monthly Downloads—
Model Card
Automated multi-class knee cartilage segmentation on magnetic resonance imaging (MRI) scans from the Osteoarthritis Initiative (OAI / OAIZIB-CM). This repository provides a deep learning testbed for benchmarking and evaluating 2D, 2.5D, and 3D segmentation architectures on femoral cartilage (FC), medial tibial cartilage (MTC), and lateral tibial cartilage (LTC). - UNet (2D Slice baseline) - Pseudo3D (2.5D Triplet channel-stacking) - nnUNet (2D residual blocks with deep supervision) - TransUNet (Hybrid CNN-Transformer encoder with ViT bottleneck) - UNet3D (Volumetric 3D U-Net with attention gates) 1. Install dependencies: 2. Generate an experiment notebook
Excerpt from the card by Kunal Mahajan.
Identity and Version
- Repository
- ChodBhangra/knee-cartilage-segmentation
- Publisher
- Kunal Mahajan
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- 4395d6c9430f9ab3d7c46723db60edb3cdcdf770
- First published
- 2026-09-07
- Last updated
- 2026-09-18
Files and Weights
251 files, 29.1 GB in total. The weights are 91 files totalling 28.8 GB in pth.
Weights91 files · 28.8 GB
Configuration90 files · 560.8 KB
Documentation43 files · 1.5 MB
Other24 files · 240.7 MB
Repository3 files · 3.1 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| experiments/saturation_phase2_archive/saturation_dryrun/05pct/best.pth | Weights | 124.2 MB | c0ef3ad1eede |
| experiments/saturation_phase2_archive/saturation_dryrun/05pct/last.pth | Weights | 372.6 MB | d95dd8a013ce |
| experiments/saturation_phase2_archive/saturation_dryrun/10pct/best.pth | Weights | 124.2 MB | f8553091a5aa |
| experiments/saturation_phase2_archive/saturation_dryrun/10pct/last.pth | Weights | 372.6 MB | d81ca0810d73 |
| experiments/saturation_phase2_archive/saturation_dryrun/15pct/best.pth | Weights | 124.2 MB | d7858294f405 |
| experiments/saturation_phase2_archive/saturation_dryrun/15pct/last.pth | Weights | 372.6 MB | 4e67bb59663f |
| experiments/saturation_phase2_archive/saturation_dryrun/20pct/best.pth | Weights | 124.2 MB | ffad6ae1e2e9 |
| experiments/saturation_phase2_archive/saturation_dryrun/20pct/last.pth | Weights | 372.6 MB | 70c4271da900 |
| experiments/saturation_phase2_archive/saturation_dryrun/25pct/best.pth | Weights | 124.2 MB | 68b62c4a294f |
| experiments/saturation_phase2_archive/saturation_dryrun/25pct/last.pth | Weights | 372.6 MB | 4fe13a87e199 |
| experiments/saturation_phase2_archive/saturation_dryrun/30pct/best.pth | Weights | 124.2 MB | c3b80a857038 |
| experiments/saturation_phase2_archive/saturation_dryrun/30pct/last.pth | Weights | 372.6 MB | 8591bab68995 |
| experiments/saturation_phase2_archive/saturation_gpu0/05pct/best.pth | Weights | 124.2 MB | 6dc0d4acb0d2 |
| experiments/saturation_phase2_archive/saturation_gpu0/05pct/last.pth | Weights | 372.6 MB | ba8fb80e6860 |
| experiments/saturation_phase2_archive/saturation_gpu0/20pct/best.pth | Weights | 124.2 MB | e0c18ebd4804 |
| experiments/saturation_phase2_archive/saturation_gpu0/20pct/last.pth | Weights | 372.6 MB | e9a0a0638991 |
| experiments/saturation_phase2_archive/saturation_gpu0_dryrun/05pct/best.pth | Weights | 124.2 MB | cb4770a71a10 |
| experiments/saturation_phase2_archive/saturation_gpu0_dryrun/05pct/last.pth | Weights | 372.6 MB | b93be1cd0b2b |
| experiments/saturation_phase2_archive/saturation_gpu0_dryrun/20pct/best.pth | Weights | 124.2 MB | ab4001f47fe1 |
| experiments/saturation_phase2_archive/saturation_gpu0_dryrun/20pct/last.pth | Weights | 372.6 MB | dffd1c329d79 |
| experiments/saturation_phase2_archive/saturation_gpu1/10pct/best.pth | Weights | 124.2 MB | e3c095bbf2c7 |
| experiments/saturation_phase2_archive/saturation_gpu1/10pct/last.pth | Weights | 372.6 MB | 37f37bec4f71 |
| experiments/saturation_phase2_archive/saturation_gpu1/25pct/best.pth | Weights | 124.2 MB | c7ccd8783bc6 |
| experiments/saturation_phase2_archive/saturation_gpu1/25pct/last.pth | Weights | 372.6 MB | 6a91cd8b8de0 |
| experiments/saturation_phase2_archive/saturation_gpu2/15pct/best.pth | Weights | 124.2 MB | 8c66e3e68e6a |
| experiments/saturation_phase2_archive/saturation_gpu2/15pct/last.pth | Weights | 372.6 MB | e1123d3c82b1 |
| experiments/saturation_phase2_archive/saturation_gpu2/30pct/best.pth | Weights | 124.2 MB | 69f9d825c9db |
| experiments/saturation_phase2_archive/saturation_gpu2/30pct/last.pth | Weights | 372.6 MB | 5f8ad050ed92 |
| experiments/testbed_bone_conditioned_segresnet/100pct/best.pth | Weights | 34.2 MB | 4b79852773cd |
| experiments/testbed_bone_conditioned_segresnet/100pct/emergency_last.pth | Weights | 72.0 MB | d324ead371f7 |
| experiments/testbed_bone_conditioned_segresnet/100pct/last.pth | Weights | 72.0 MB | e9b59880e54d |
| experiments/testbed_cgan/100pct/best.pth | Weights | 167.9 MB | df0864a8d1cb |
| experiments/testbed_cgan/100pct/last.pth | Weights | 503.6 MB | 88db15396fee |
| experiments/testbed_cnnssm/100pct/best.pth | Weights | 53.8 MB | a6b8efdd589d |
| experiments/testbed_cnnssm/100pct/emergency_last.pth | Weights | 161.2 MB | 3d5ef30720d1 |
| experiments/testbed_cnnssm/100pct/last.pth | Weights | 161.2 MB | aa640ff864ae |
| experiments/testbed_fdmnet/100pct/best.pth | Weights | 9.4 MB | 68c4a5970b2a |
| experiments/testbed_fdmnet/100pct/emergency_last.pth | Weights | 28.2 MB | 78cd6c62243e |
| experiments/testbed_fdmnet/100pct/last.pth | Weights | 28.2 MB | 7ae31519a8e2 |
| experiments/testbed_fdmnet/50pct/best.pth | Weights | 9.4 MB | 24547186d651 |
| experiments/testbed_fdmnet/50pct/emergency_last.pth | Weights | 28.2 MB | cd4a28618324 |
| experiments/testbed_fdmnet/50pct/last.pth | Weights | 28.2 MB | d760a218c867 |
| experiments/testbed_hierarchical_segresnet/100pct/best.pth | Weights | 15.4 MB | 7ed26a1939bf |
| experiments/testbed_hierarchical_segresnet/100pct/last.pth | Weights | 46.3 MB | 7709ff47afba |
| experiments/testbed_mpfcnet/100pct/best.pth | Weights | 15.5 MB | f4938af9187a |
| experiments/testbed_mpfcnet/100pct/emergency_last.pth | Weights | 46.6 MB | 69d36b1755b3 |
| experiments/testbed_mpfcnet/100pct/last.pth | Weights | 46.6 MB | 864a106ddcbd |
| experiments/testbed_mpfcnet/50pct/best.pth | Weights | 15.5 MB | fb77300b9192 |
| experiments/testbed_mpfcnet/50pct/last.pth | Weights | 46.6 MB | 9a8171ab247e |
| experiments/testbed_nnunet/50pct/best.pth | Weights | 121.7 MB | f96852b3678a |
| experiments/testbed_nnunet/50pct/last.pth | Weights | 365.0 MB | 9290ac1d56d4 |
| experiments/testbed_paunet/50pct/best.pth | Weights | 142.4 MB | f00ab2511046 |
| experiments/testbed_paunet/50pct/last.pth | Weights | 427.2 MB | 40cc3f9af14c |
| experiments/testbed_pseudo3d/50pct/best.pth | Weights | 129.8 MB | 2dc291c2ea87 |
| experiments/testbed_pseudo3d/50pct/emergency_last.pth | Weights | 389.4 MB | 896f94cdad00 |
| experiments/testbed_pseudo3d/50pct/last.pth | Weights | 389.4 MB | a000c9dcb354 |
| experiments/testbed_transunet/50pct/best.pth | Weights | 141.2 MB | 878b2e79a568 |
| experiments/testbed_transunet/50pct/emergency_last.pth | Weights | 423.4 MB | e4a04f2779ba |
| experiments/testbed_transunet/50pct/last.pth | Weights | 423.4 MB | 1c82653c264e |
| experiments/testbed_unet/100pct/emergency_last.pth | Weights | 124.2 MB | 3337bd5b3022 |
| experiments/testbed_unet/50pct/best.pth | Weights | 124.2 MB | 69f2c411dec7 |
| experiments/testbed_unet/50pct/last.pth | Weights | 372.6 MB | a4c82272c4eb |
| experiments/testbed_unet3d/100pct/best.pth | Weights | 349.4 MB | e98e064a1434 |
| experiments/testbed_unet3d/100pct/emergency_last.pth | Weights | 1.0 GB | 5329e5178fe8 |
| experiments/testbed_unet3d/100pct/last.pth | Weights | 1.0 GB | ad8089b02461 |
| experiments/testbed_unet3d/50pct/best.pth | Weights | 349.4 MB | ef4e84fb7683 |
| experiments/testbed_unet3d/50pct/emergency_last.pth | Weights | 1.0 GB | f22f6ec4877b |
| experiments/testbed_unet3d/50pct/last.pth | Weights | 1.0 GB | 56c38b57930b |
| experiments/testbed_unet3d__6c_aE_lD_sD_f100_e100/100pct/best.pth | Weights | 349.4 MB | b19e45e57493 |
| experiments/testbed_unet3d__6c_aE_lD_sD_f100_e100/100pct/last.pth | Weights | 1.0 GB | 3eb74e36eb0e |
| experiments/testbed_unet3d__6c_aEr_lD_sD_f100_e100/100pct/best.pth | Weights | 349.4 MB | 7938bbdd65a9 |
| experiments/testbed_unet3d__6c_aEr_lD_sD_f100_e100/100pct/emergency_last.pth | Weights | 1.0 GB | 9b9a2402f85f |
| experiments/testbed_unet3d__6c_aEr_lD_sD_f100_e100/100pct/last.pth | Weights | 1.0 GB | 136485d143f2 |
| experiments/testbed_unet3d__6c_aI_lD_sD_f100_e100/100pct/best.pth | Weights | 349.4 MB | 0194e85fc3a7 |
| experiments/testbed_unet3d__6c_aI_lD_sD_f100_e100/100pct/last.pth | Weights | 1.0 GB | 492a2cc5cfa1 |
| experiments/testbed_unet3d__6c_aN_lD_sD_f100_e100/100pct/best.pth | Weights | 349.4 MB | 761ab9a12db3 |
| experiments/testbed_unet3d__6c_aN_lD_sD_f100_e100/100pct/last.pth | Weights | 1.0 GB | 7cf359be0236 |
| experiments/testbed_unet3d__6c_aN_lD_sD_f100_e150/100pct/best.pth | Weights | 349.4 MB | f6069412fa54 |
| experiments/testbed_unet3d__6c_aS_lD_sD_f100_e100/100pct/best.pth | Weights | 349.4 MB | e2cdc5d8afe8 |
| experiments/testbed_unet3d__6c_aS_lD_sD_f100_e100/100pct/emergency_last.pth | Weights | 1.0 GB | e763220f13ef |
| experiments/testbed_unet3d__6c_aS_lD_sD_f100_e100/100pct/last.pth | Weights | 1.0 GB | bfadcf59a72f |
| experiments/testbed_unet__6c_aN_lD_sD_f100_e50/100pct/best.pth | Weights | 124.2 MB | 0e26edca58cc |
| experiments/testbed_unet__6c_aN_lD_sD_f100_e50/100pct/last.pth | Weights | 372.6 MB | 86e22ebe1a71 |
| experiments/testbed_unet__6c_aS_lD_sD_f100_e50/100pct/best.pth | Weights | 124.2 MB | e1af3157b417 |
| experiments/testbed_unet__6c_aS_lD_sD_f100_e50/100pct/last.pth | Weights | 372.6 MB | 8d0fc0c0af45 |
| experiments/testbed_viltabnet/100pct/best.pth | Weights | 100.4 MB | 6d0fe4000f7d |
| experiments/testbed_viltabnet/100pct/emergency_last.pth | Weights | 301.1 MB | c3b79ffd1a68 |
| experiments/testbed_viltabnet/100pct/last.pth | Weights | 301.1 MB | 859bbfb743d7 |
| experiments/testbed_viltabnet/50pct/best.pth | Weights | 100.4 MB | d88692d094f0 |
| experiments/testbed_viltabnet/50pct/emergency_last.pth | Weights | 301.1 MB | 7c39a31ed298 |
| experiments/testbed_viltabnet/50pct/last.pth | Weights | 301.1 MB | 7b84cff6674c |
| experiments/saturation_phase2_archive/saturation_dryrun/05pct/history.json | Configuration | 361 B | — |
| experiments/saturation_phase2_archive/saturation_dryrun/05pct/val_metrics.json | Configuration | 460 B | — |
| experiments/saturation_phase2_archive/saturation_dryrun/10pct/history.json | Configuration | 361 B | — |
| experiments/saturation_phase2_archive/saturation_dryrun/10pct/val_metrics.json | Configuration | 462 B | — |
| experiments/saturation_phase2_archive/saturation_dryrun/15pct/history.json | Configuration | 359 B | — |
| experiments/saturation_phase2_archive/saturation_dryrun/15pct/val_metrics.json | Configuration | 461 B | — |
| experiments/saturation_phase2_archive/saturation_dryrun/20pct/history.json | Configuration | 361 B | — |
| experiments/saturation_phase2_archive/saturation_dryrun/20pct/val_metrics.json | Configuration | 461 B | — |
| experiments/saturation_phase2_archive/saturation_dryrun/25pct/history.json | Configuration | 362 B | — |
| experiments/saturation_phase2_archive/saturation_dryrun/25pct/val_metrics.json | Configuration | 461 B | — |
| experiments/saturation_phase2_archive/saturation_dryrun/30pct/history.json | Configuration | 358 B | — |
| experiments/saturation_phase2_archive/saturation_dryrun/30pct/val_metrics.json | Configuration | 459 B | — |
| experiments/saturation_phase2_archive/saturation_gpu0/05pct/history.json | Configuration | 3.9 KB | — |
| experiments/saturation_phase2_archive/saturation_gpu0/05pct/val_metrics.json | Configuration | 465 B | — |
| experiments/saturation_phase2_archive/saturation_gpu0/20pct/history.json | Configuration | 3.9 KB | — |
| experiments/saturation_phase2_archive/saturation_gpu0/20pct/val_metrics.json | Configuration | 465 B | — |
| experiments/saturation_phase2_archive/saturation_gpu0_dryrun/05pct/history.json | Configuration | 280 B | — |
| experiments/saturation_phase2_archive/saturation_gpu0_dryrun/05pct/val_metrics.json | Configuration | 459 B | — |
| experiments/saturation_phase2_archive/saturation_gpu0_dryrun/20pct/history.json | Configuration | 288 B | — |
| experiments/saturation_phase2_archive/saturation_gpu0_dryrun/20pct/val_metrics.json | Configuration | 461 B | — |
| experiments/saturation_phase2_archive/saturation_gpu1/10pct/history.json | Configuration | 3.9 KB | — |
| experiments/saturation_phase2_archive/saturation_gpu1/10pct/val_metrics.json | Configuration | 465 B | — |
| experiments/saturation_phase2_archive/saturation_gpu1/25pct/history.json | Configuration | 3.9 KB | — |
| experiments/saturation_phase2_archive/saturation_gpu1/25pct/val_metrics.json | Configuration | 467 B | — |
| experiments/saturation_phase2_archive/saturation_gpu2/15pct/history.json | Configuration | 3.9 KB | — |
| experiments/saturation_phase2_archive/saturation_gpu2/15pct/val_metrics.json | Configuration | 466 B | — |
| experiments/saturation_phase2_archive/saturation_gpu2/30pct/history.json | Configuration | 3.9 KB | — |
| experiments/saturation_phase2_archive/saturation_gpu2/30pct/val_metrics.json | Configuration | 465 B | — |
| experiments/saturation_phase2_archive/saturation_results.json | Configuration | 3.6 KB | — |
| experiments/saturation_phase2_archive/saturation_results_dryrun.json | Configuration | 3.5 KB | — |
| experiments/testbed_bone_conditioned_segresnet/100pct/history.json | Configuration | 24.5 KB | — |
| experiments/testbed_cgan/100pct/history.json | Configuration | 3.9 KB | — |
| experiments/testbed_cgan/results/results.json | Configuration | 1.5 KB | — |
| experiments/testbed_cnnssm/100pct/history.json | Configuration | 11.2 KB | — |
| experiments/testbed_cnnssm/results/results.json | Configuration | 1.9 KB | — |
| experiments/testbed_fdmnet/100pct/history.json | Configuration | 11.2 KB | — |
| experiments/testbed_fdmnet/50pct/.ipynb_checkpoints/history-checkpoint.json | Configuration | 2.3 KB | — |
| experiments/testbed_fdmnet/50pct/history.json | Configuration | 2.3 KB | — |
| experiments/testbed_fdmnet/results/results.json | Configuration | 1.7 KB | — |
| experiments/testbed_hierarchical_segresnet/100pct/history.json | Configuration | 1.5 KB | — |
| experiments/testbed_mpfcnet/100pct/history.json | Configuration | 11.2 KB | — |
| experiments/testbed_mpfcnet/50pct/history.json | Configuration | 3.9 KB | — |
| experiments/testbed_mpfcnet/results/results.json | Configuration | 1.8 KB | — |
| experiments/testbed_nnunet/50pct/history.json | Configuration | 3.9 KB | — |
| experiments/testbed_nnunet/50pct/val_metrics.json | Configuration | 786 B | — |
| experiments/testbed_nnunet/results/results.json | Configuration | 1.4 KB | — |
| experiments/testbed_paunet/50pct/history.json | Configuration | 3.9 KB | — |
| experiments/testbed_paunet/results/results.json | Configuration | 1.4 KB | — |
| experiments/testbed_pseudo3d/50pct/history.json | Configuration | 3.9 KB | — |
| experiments/testbed_pseudo3d/50pct/val_metrics.json | Configuration | 741 B | — |
| experiments/testbed_pseudo3d/results/results.json | Configuration | 1.3 KB | — |
| experiments/testbed_transunet/50pct/history.json | Configuration | 3.9 KB | — |
| experiments/testbed_transunet/50pct/val_metrics.json | Configuration | 838 B | — |
| experiments/testbed_transunet/results/results.json | Configuration | 1.5 KB | — |
| experiments/testbed_unet/100pct/history.json | Configuration | 128 B | — |
| experiments/testbed_unet/50pct/history.json | Configuration | 3.9 KB | — |
| experiments/testbed_unet/50pct/val_metrics.json | Configuration | 715 B | — |
| experiments/testbed_unet/results/results.json | Configuration | 1.2 KB | — |
| experiments/testbed_unet3d/100pct/history.json | Configuration | 18.4 KB | — |
| experiments/testbed_unet3d/50pct/history.json | Configuration | 3.9 KB | — |
| experiments/testbed_unet3d/results/results.json | Configuration | 1.6 KB | — |
| experiments/testbed_unet3d/results/results_test.json | Configuration | 528 B | — |
| experiments/testbed_unet3d__6c_aE_lD_sD_f100_e100/100pct/history.json | Configuration | 31.5 KB | — |
| experiments/testbed_unet3d__6c_aE_lD_sD_f100_e100/results/results.json | Configuration | 1.9 KB | — |
| experiments/testbed_unet3d__6c_aEr_lD_sD_f100_e100/100pct/history.json | Configuration | 29.5 KB | — |
| experiments/testbed_unet3d__6c_aI_lD_sD_f100_e100/100pct/history.json | Configuration | 31.5 KB | — |
| experiments/testbed_unet3d__6c_aI_lD_sD_f100_e100/results/results.json | Configuration | 1.9 KB | — |
| experiments/testbed_unet3d__6c_aN_lD_sD_f100_e100/100pct/history.json | Configuration | 31.5 KB | — |
| experiments/testbed_unet3d__6c_aN_lD_sD_f100_e150/100pct/history.json | Configuration | 3.4 KB | — |
| experiments/testbed_unet3d__6c_aS_lD_sD_f100_e100/100pct/history.json | Configuration | 31.5 KB | — |
| experiments/testbed_unet3d__6c_aS_lD_sD_f100_e100/results/results.json | Configuration | 1.9 KB | — |
| experiments/testbed_unet__6c_aN_lD_sD_f100_e50/100pct/history.json | Configuration | 17.1 KB | — |
| experiments/testbed_unet__6c_aS_lD_sD_f100_e50/100pct/history.json | Configuration | 17.1 KB | — |
| experiments/testbed_viltabnet/100pct/history.json | Configuration | 11.2 KB | — |
| experiments/testbed_viltabnet/50pct/.ipynb_checkpoints/history-checkpoint.json | Configuration | 1.2 KB | — |
| experiments/testbed_viltabnet/50pct/history.json | Configuration | 1.6 KB | — |
| experiments/testbed_viltabnet/results/results.json | Configuration | 1.8 KB | — |
| models/__init__.py | Configuration | — | |
| models/model_fdmnet.py | Configuration | 19.9 KB | — |
| models/model_mpfcnet.py | Configuration | 18.4 KB | — |
| models/model_nnunet.py | Configuration | 8.4 KB | — |
| models/model_paunet.py | Configuration | 17.4 KB | — |
| models/model_pseudo3d.py | Configuration | 11.3 KB | — |
| models/model_transunet.py | Configuration | 10.9 KB | — |
| models/model_unet.py | Configuration | 5.2 KB | — |
| models/model_unet3d.py | Configuration | 21.5 KB | — |
| models/model_viltabnet.py | Configuration | 20.8 KB | — |
| run_config.py | Configuration | 912 B | — |
| scripts/create_notebook_config.py | Configuration | 21.4 KB | — |
| scripts/setup_env.py | Configuration | 17.9 KB | — |
| README.md | Documentation | 977 B | — |
| literature_survey/cross-paper-analysis.md | Documentation | 115.2 KB | — |
| literature_survey/model-shortlist-and-selection.md | Documentation | 12.8 KB | — |
| literature_survey/next-step-plan.md | Documentation | 9.5 KB | — |
| literature_survey/original_papers/P01-3D_CSFA-UNet_a_unified_attentiondriven_deep_learning_framework_for_accurate_knee_MRI_segmentation_and_osteoarthritis_severity_classification.md | Documentation | 89.0 KB | — |
| literature_survey/original_papers/P010-JISS_Joint_image_super-resolution_and_segmentation_of_magnetic_resonance_images_via_disentangled_representation_learning.md | Documentation | 84.8 KB | — |
| literature_survey/original_papers/P011-KCB-Net_A_3D_knee_cartilage_and_bone_segmentation_network_via_sparse_annotation.md | Documentation | 73.4 KB | — |
| literature_survey/original_papers/P012-Knee_Cartilage_Segmentation_using_Improved_U-Net.md | Documentation | 26.5 KB | — |
| literature_survey/original_papers/P013-MPFCNet_multi-scale_parallel_feature_fusion_convolutional_network_for_3D_knee_segmentation_from_MR_images.md | Documentation | 43.5 KB | — |
| literature_survey/original_papers/P014-Multi-Scale_Fusion_for_Real-Time_Image_Observation_and_Data_Analysis_of_Athletes_after_Soft_Tissue_Injury.md | Documentation | 50.2 KB | — |
| literature_survey/original_papers/P015-Patch_Attention_U-Net_for_knee_cartilage_segmentation_in_magnetic_resonance_images.md | Documentation | 46.7 KB | — |
| literature_survey/original_papers/P016-Quantifying_Knee_Cartilage_Shape_and_Lesion_From_Image_to_Metrics.md | Documentation | 22.8 KB | — |
| literature_survey/original_papers/P017-Segmentation_of_knee_MRI_data_with_convolutional_neural_networks_for_semi-automated_three-dimensional_surface-based_analysis_of_cartilage_morphology_and_composition.md | Documentation | 45.1 KB | — |
| literature_survey/original_papers/P018-The_optimisation_of_deep_neural_networks_for_segmenting_multiple_knee_joint_tissues_from_MRIs.md | Documentation | 115.8 KB | — |
| literature_survey/original_papers/P019-ViL-TabNet_Multimodal_Knee_MRI_Segmentation_with_Patient_Prior_Fusion_and_Bidirectional_Long-Range_Modeling.md | Documentation | 27.2 KB | — |
| literature_survey/original_papers/P02-A_fully_automatic_knee_subregion_segmentation_network_based_on_tissue_segmentation_and_anatomical_geometry.md | Documentation | 41.8 KB | — |
| literature_survey/original_papers/P03-A_generative_adversarial_network_incorporating_dual_attention_mechanisms_for_the_segmentation_of_knee_bone_and_cartilage.md | Documentation | 47.5 KB | — |
| literature_survey/original_papers/P04-A_novel_knee_osteoarthritis_disease_segmentation_using_multiresolution_attentive-unet_and_classification_using_hybrid_vision_transformer_with_meerkat_clan_algorithm.md | Documentation | 132.0 KB | — |
| literature_survey/original_papers/P05-Automated_segmentation_of_knee_articular_cartilage_Joint_deep_and_hand-crafted_learning-based_framework_using_diffeomorphic_mapping.md | Documentation | 88.3 KB | — |
| literature_survey/original_papers/P06-Automated_segmentation_of_knee_bone_and_cartilage_combining_statistical_shape_knowledge_and_convolutional_neural_networks_Data_from_the_Osteoarthritis_Initiative.md | Documentation | 48.6 KB | — |
| literature_survey/original_papers/P07-Cartilage_Segmentation_from_MRI_Images_Towards_Prediction_of_Osteoarthritis.md | Documentation | 31.0 KB | — |
| literature_survey/original_papers/P08-FDM-Net_Frequency-domain_modulation_network_for_medical_image_segmentation.md | Documentation | 39.4 KB | — |
| literature_survey/original_papers/P09-Improving_Knee_Osteoarthritis_Detection_Through_a_Multitask_Learning_Method_from_2D_MRI_Slices.md | Documentation | 20.6 KB | — |
| literature_survey/paper_analysis/P01-Analysis.md | Documentation | 12.8 KB | — |
| literature_survey/paper_analysis/P02-Analysis.md | Documentation | 12.9 KB | — |
| literature_survey/paper_analysis/P03-Analysis.md | Documentation | 12.7 KB | — |
| literature_survey/paper_analysis/P04-Analysis.md | Documentation | 14.0 KB | — |
| literature_survey/paper_analysis/P05-Analysis.md | Documentation | 15.2 KB | — |
| literature_survey/paper_analysis/P06-Analysis.md | Documentation | 15.1 KB | — |
| literature_survey/paper_analysis/P07-Analysis.md | Documentation | 12.5 KB | — |
| literature_survey/paper_analysis/P08-Analysis.md | Documentation | 14.1 KB | — |
| literature_survey/paper_analysis/P09-Analysis.md | Documentation | 13.2 KB | — |
| literature_survey/paper_analysis/P10-Analysis.md | Documentation | 12.3 KB | — |
| literature_survey/paper_analysis/P11-Analysis.md | Documentation | 14.6 KB | — |
| literature_survey/paper_analysis/P12-Analysis.md | Documentation | 9.6 KB | — |
| literature_survey/paper_analysis/P13-Analysis.md | Documentation | 13.5 KB | — |
| literature_survey/paper_analysis/P14-Analysis.md | Documentation | 13.7 KB | — |
| literature_survey/paper_analysis/P15-Analysis.md | Documentation | 13.2 KB | — |
| literature_survey/paper_analysis/P16-Analysis.md | Documentation | 14.3 KB | — |
| literature_survey/paper_analysis/P17-Analysis.md | Documentation | 14.7 KB | — |
| literature_survey/paper_analysis/P18-Analysis.md | Documentation | 14.8 KB | — |
| literature_survey/paper_analysis/P19-Analysis.md | Documentation | 14.0 KB | — |
| literature_survey/research-direction-roadmap.md | Documentation | 15.6 KB | — |
| experiments/saturation_phase2_archive/saturation_curve.png | Other | 110.5 KB | f17a3ed6673e |
| experiments/saturation_phase2_archive/saturation_curve_dryrun.png | Other | 110.3 KB | 31bb39f5ee2c |
| experiments/saturation_phase2_archive/saturation_results.csv | Other | 916 B | — |
| experiments/saturation_phase2_archive/saturation_results_dryrun.csv | Other | 893 B | — |
| experiments/testbed_cgan/100pct/last.pth.tmp.3069437_1789055128366 | Other | 240.3 MB | 2f39af0fa3a9 |
| experiments/testbed_cgan/results/results.csv | Other | 326 B | — |
| experiments/testbed_cnnssm/results/results.csv | Other | 319 B | — |
| experiments/testbed_fdmnet/results/results.csv | Other | 329 B | — |
| experiments/testbed_mpfcnet/results/results.csv | Other | 328 B | — |
| experiments/testbed_nnunet/results/results.csv | Other | 326 B | — |
| experiments/testbed_paunet/results/results.csv | Other | 327 B | — |
| experiments/testbed_pseudo3d/results/results.csv | Other | 328 B | — |
| experiments/testbed_transunet/results/results.csv | Other | 329 B | — |
| experiments/testbed_unet/results/results.csv | Other | 325 B | — |
| experiments/testbed_unet3d/results/results.csv | Other | 328 B | — |
| experiments/testbed_unet3d__6c_aE_lD_sD_f100_e100/results/results.csv | Other | 431 B | — |
| experiments/testbed_unet3d__6c_aI_lD_sD_f100_e100/results/results.csv | Other | 432 B | — |
| experiments/testbed_unet3d__6c_aS_lD_sD_f100_e100/results/results.csv | Other | 431 B | — |
| experiments/testbed_viltabnet/results/results.csv | Other | 330 B | — |
| notebooks/templates/testbed_notebook.ipynb | Other | 72.2 KB | — |
| notebooks/templates/testbed_notebook_3d.ipynb | Other | 82.6 KB | — |
| requirements.txt | Other | 2.2 KB | — |
| results/results_dashboard.ipynb | Other | 45.3 KB | — |
| scripts/setup_cache_env.sh | Other | 1.7 KB | — |
| .env.example | Repository | 545 B | — |
| .gitattributes | Repository | 1.3 KB | — |
| .gitignore | Repository | 1.2 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 28.8 GB
Download from Kunal Mahajan
Released by Kunal Mahajan through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 28.8 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.