Alternatives and similar repositories for transoar

Users that are interested in transoar are comparing it to the libraries listed below

• HINTLab / RibSeg
  [MICCAI'21 & TMI'23] RibSeg Dataset and Point Cloud Baselines for Rib Segmentation from CT Scans
  ☆67Updated last year
• arcadelab / FastSAM3D
  Code for "FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images"
  ☆104Updated 9 months ago
• alibaba-damo-academy / self-supervised-anatomical-embedding-v2
  ☆72Updated last year
• MIC-DKFZ / MultiTalent
  Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"
  ☆62Updated 5 months ago
• MrGiovanni / AbdomenAtlas
  [NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)
  ☆297Updated last month
• HiLab-git / WORD
  [MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
  ☆169Updated last year
• MECLabTUDA / Lifelong-nnUNet
  ☆155Updated 3 months ago
• JunMa11 / AbdomenCT-1K
  The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"
  ☆260Updated 2 years ago
• DIAGNijmegen / ULS23
  Repository for the Universal Lesion Segmentation Challenge '23
  ☆39Updated 8 months ago
• alexanderjaus / AtlasDataset
  ☆46Updated last year
• MIRACLE-Center / CTPelvic1K
  Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.
  ☆168Updated 3 years ago
• MIC-DKFZ / Skeleton-Recall
  Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
  ☆125Updated last month
• gloriatao / Spine-Transformers
  ☆29Updated 4 years ago
• bwittmann / vesselFM
  A foundation model for universal 3D blood vessel segmentation. Paper accepted @ CVPR25.
  ☆139Updated last month
• mazurowski-lab / SegmentAnyBone
  SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
  ☆116Updated last year
• MIC-DKFZ / nnssl
  ☆124Updated 3 months ago
• JiYuanFeng / AMOS
  AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
  ☆29Updated 2 years ago
• MIRACLE-Center / Oneshot_landmark_detection
  Official code for "Oneshot Medical Landmark Detection' (MICCAI 2021 early accepted)
  ☆54Updated 2 years ago
• mazurowski-lab / segment-anything-medical-evaluation
  Code for "Segment Anything Model for Medical Image Analysis: an Experimental Study" in Medical Image Analysis
  ☆168Updated last year
• PengchengShi1220 / cbDice
  [MICCAI 2024] Centerline Boundary Dice Loss for Vascular Segmentation
  ☆80Updated last month
• White65534 / BHSD
  This is the official project webpage of BHSD (MLMI 2023).
  ☆25Updated 2 months ago
• qinliuliuqin / Medical-Detection3d-Toolkit
  Landmark detection engine for 3D medical images (MICCAI workshop 2021)
  ☆46Updated 4 months ago
• HiLab-git / MIDeepSeg
  [MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
  ☆131Updated 3 years ago
• neheller / kits23
  The official repository of the 2023 Kidney Tumor Segmentation Challenge (KiTS23)
  ☆133Updated 4 months ago
• MIC-DKFZ / LesionLocator
  LesionLocator is a framework for zero-shot lesion segmentation and longitudinal tumor tracking in 3D full-body imaging.
  ☆85Updated last month
• HINTLab / pulmonary-tree-labeling
  [MedIA‘25] Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields
  ☆42Updated last year
• davidiommi / Pytorch--3D-Medical-Images-Segmentation--SALMON
  Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.
  ☆123Updated 4 years ago
• DIAGNijmegen / picai_labels
  Annotations for the PI-CAI Challenge: Public Training and Development Dataset
  ☆68Updated 6 months ago
• amine0110 / SAM-Medical-Imaging
  ☆119Updated 2 years ago
• Shanghai-Aitrox-Technology / EfficientSegmentation
  Segmentation for medical image.
  ☆86Updated 4 years ago