{"id":31557283,"url":"https://github.com/hilab-git/pls4mis","last_synced_at":"2025-10-04T23:53:59.404Z","repository":{"id":299430409,"uuid":"1002974351","full_name":"HiLab-git/PLS4MIS","owner":"HiLab-git","description":"Partially Labeled Supervision for Medical Image Segmentation","archived":false,"fork":false,"pushed_at":"2025-10-03T13:30:24.000Z","size":128,"stargazers_count":14,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-03T15:29:45.756Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/HiLab-git.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-06-16T12:34:10.000Z","updated_at":"2025-10-03T13:30:27.000Z","dependencies_parsed_at":"2025-06-16T14:55:14.802Z","dependency_job_id":"a8010511-fffe-455f-99cd-5f2ec06cffe5","html_url":"https://github.com/HiLab-git/PLS4MIS","commit_stats":null,"previous_names":["hilab-git/pls4mis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/HiLab-git/PLS4MIS","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HiLab-git%2FPLS4MIS","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HiLab-git%2FPLS4MIS/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HiLab-git%2FPLS4MIS/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HiLab-git%2FPLS4MIS/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HiLab-git","download_url":"https://codeload.github.com/HiLab-git/PLS4MIS/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HiLab-git%2FPLS4MIS/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278391189,"owners_count":25978945,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-04T02:00:05.491Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-10-04T23:53:55.036Z","updated_at":"2025-10-04T23:53:59.394Z","avatar_url":"https://github.com/HiLab-git.png","language":"Python","readme":"# 🧠 PLS4MIS: Partially Labeled Supervision for Medical Image Segmentation\n\n**PLS4MIS** is an open-source toolbox for **partially labeled medical image segmentation**.\n\n* This project aims to facilitate research in scenarios where full pixel-wise annotations are expensive or infeasible by providing literature reviews, benchmark implementations, and practical PyTorch code.\n\n---\n\n## 📌 Highlights\n\n- 📁 Focused on partially labeled supervision for **3D medical image segmentation**\n- 📚 Includes **daily-updated literature reviews**\n- 🛠️ Implements **six representative algorithms**\n- 🧪 Ready-to-run examples and scripts\n\n---\n\n## 📊 Datasets for partially labeled medical image segmentation.\nSome information and download links of the partially labeled learning datasets can be found in this [Link](https://github.com/HiLab-git/PLS4MIS/tree/main/datasets).\n\n---\n\n## 🔬 Code for partially labeled medical image segmentation.\nSome implementations of partially labeled learning methods can be found in this [Link](https://github.com/HiLab-git/PLS4MIS/tree/main/code).\n\n---\n\n## 📖 Literature reviews of partially labeled learning approach for medical image segmentation (**PLS4MIS**)\n|Date|The First and Last Authors|Title|Code|Reference|\n|---|---|---|---|---|\n|2025-10|Z. Zhang and X. Duan|AMOTS: Partially supervised framework for abdominal multi-organ and tumor segmentation via aspect-aware complementary|[Code](https://github.com/zzm3zz/AMOTS)|[AIMed2025](https://www.sciencedirect.com/science/article/pii/S0933365725001599?ref=pdf_download\u0026fr=RR-2\u0026rr=966ba42cac9fcbae)|\n|2025-07|H. Gong and H. Li|Boundary as the Bridge: Toward Heterogeneous Partially-Labeled Medical Image Segmentation and Landmark Detection|[Code](https://github.com/lhaof/HPL)|[TMI2025](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\u0026arnumber=10915612)|\n|2025-01|X. Jiang and X. Yang|Labeled-to-unlabeled distribution alignment for partially-supervised multi-organ medical image segmentation|[Code](https://github.com/xjiangmed/LTUDA)|[MedIA2025](https://www.sciencedirect.com/science/article/pii/S1361841524002585)|\n|2024-06|B. Billot and P. Golland|Network conditioning for synergistic learning on partial annotations|[Code](https://github.com/BBillot/CoNeMOS)|[MIDL2024](https://openreview.net/forum?id=sfjgmuvLS7)|\n|2024-05|H. Liu and S. Grbic|COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training|None|[TMI2024](https://ieeexplore.ieee.org/abstract/document/10400525)|\n|2024-03|X. Chen and Y. Fan|Versatile medical image segmentation learned from multi-source datasets via model self-disambiguation|None|[CVPR2024](https://openaccess.thecvf.com/content/CVPR2024/papers/Chen_Versatile_Medical_Image_Segmentation_Learned_from_Multi-Source_Datasets_via_Model_CVPR_2024_paper.pdf)|\n|2024-02|H. Wang and S. Wan|A multi-objective segmentation method for chest X-rays based on collaborative learning from multiple partially annotated datasets|None|[InfFusion2024](https://www.sciencedirect.com/science/article/pii/S1566253523003329)|\n|2023-09|Y. Xie and C. Shen|Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation|[Code](https://github.com/jianpengz/DoDNet/tree/main/TransDoD)|[TPAMI2023](https://ieeexplore.ieee.org/abstract/document/10242007)|\n|2023-06|X. Liu and S. Yang|CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation|[Code](https://github.com/Yang-007/CCQ)|[AAAI2023](https://ojs.aaai.org/index.php/AAAI/article/view/25264)|\n|2022-08|R. Deng and Y. Huo|Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data|[Code](https://github.com/ddrrnn123/Omni-Seg)|[MIDL2022](https://proceedings.mlr.press/v172/deng22a/deng22a.pdf)|\n|2022-04|H. Wu and A. Sowmya|Tgnet: A Task-Guided Network Architecture for Multi-Organ and Tumour Segmentation from Partially Labelled Datasets|None|[ISBI2022](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\u0026arnumber=9761582)|\n|2021-09|L. Fidon and T. Vercauteren|Label-Set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation|[Code](https://github.com/LucasFidon/label-set-loss-functions)|[MICCAI2021](https://link.springer.com/content/pdf/10.1007/978-3-030-87196-3_60.pdf?pdf=inline%20link)|\n|2021-05|G. Shi and SK. Zhou|Marginal loss and exclusion loss for partially supervised multi-organ segmentation|[Code](https://github.com/MIRACLE-Center/Partially-supervised-multi-organ-segmentation)|[MedIA2021](https://www.sciencedirect.com/science/article/pii/S1361841521000256)|\n|2021-03|J. Zhang and C. Shen|DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets|[Code](https://github.com/jianpengz/DoDNet)|[CVPR2021](https://openaccess.thecvf.com/content/CVPR2021/html/Zhang_DoDNet_Learning_To_Segment_Multi-Organ_and_Tumors_From_Multiple_Partially_CVPR_2021_paper.html)|\n|2020-11|X. Fang and P. Yan|Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction|[Code](https://github.com/DIAL-RPI/PIPO-FAN)|[TMI2020](https://ieeexplore.ieee.org/abstract/document/9112221)|\n\n---\n\n## ❓ Questions and Suggestions\nWe welcome contributions, suggestions, and collaborations!\n- 📧 Email: lihe200203@163.com\n- 💬 QQ Group (Chinese): 906808850\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhilab-git%2Fpls4mis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhilab-git%2Fpls4mis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhilab-git%2Fpls4mis/lists"}