Alternatives and similar repositories for SegRap2023

Users that are interested in SegRap2023 are comparing it to the libraries listed below

• YutingHe-list / GVSL
  ☆69Updated 2 years ago
• Luoxd1996 / RAOS
  [MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging …
  ☆58Updated last year
• alibaba-damo-academy / pixel-lesion-patient-network
  ☆31Updated 2 years ago
• shangqigao / BayeSeg
  The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmen…
  ☆41Updated 3 years ago
• alibaba-damo-academy / same
  Medical image registration, affine and deformable registration
  ☆34Updated 10 months ago
• SynthRAD2023 / preprocessing
  Preprocessing scripts: from dicom to aligned nitfy for SynthRAD2023 Grand Challenge
  ☆70Updated 2 years ago
• alibaba-damo-academy / self-supervised-anatomical-embedding-v2
  ☆75Updated 2 years ago
• MIC-DKFZ / MultiTalent
  Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"
  ☆62Updated 5 months ago
• TopoXLab / TopoInteraction
  This repository contains the implementation for our work "Learning Topological Interactions for Multi-Class Medical Image Segmentation", …
  ☆84Updated last year
• PengchengShi1220 / cbDice
  [MICCAI 2024] Centerline Boundary Dice Loss for Vascular Segmentation
  ☆81Updated last month
• daviddmc / SVoRT
  SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI
  ☆44Updated 2 years ago
• uni-medical / A-Eval
  MedIA 2025 | A-Eval: A Benchmark for Cross-Dataset and Cross-Modality Evaluation of Abdominal Multi-Organ Segmentation
  ☆33Updated 11 months ago
• moucheng2017 / EM-BPL-Semi-Seg
  [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
  ☆40Updated 8 months ago
• iMED-Lab / ER-Net
  3D vessel-like structure segmentation in pytorch
  ☆32Updated 2 years ago
• ge-xing / HybridMIM
  HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation
  ☆23Updated 2 years ago
• alexanderjaus / AtlasDataset
  ☆46Updated last year
• yhygao / universal-medical-image-segmentation
  ☆78Updated last year
• weih527 / SSNS-Net
  Semi-Supervised Neuron Segmentation via Reinforced Consistency Learning
  ☆32Updated 3 years ago
• uni-medical / MedIM
  One-line code to get SoTA pre-trained Medical Image Models ready in PyTorch.
  ☆48Updated 10 months ago
• HengCai-NJU / 3D2DCT
  ☆18Updated 2 years ago
• Luoxd1996 / HaN5K
  [In Progressing]HaN5K: A project to develop foundation models for structure delineation in head and neck radiotherapy based on more than …
  ☆16Updated 2 years ago
• whq-xxh / SFADA-UWF-SLO
  (MICCAI 2024 Early Acc)Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset
  ☆20Updated last year
• Luoxd1996 / MSHub
  MSHub: Medical Image Segmentation Hub with Pre-trained nnUNets
  ☆23Updated 11 months ago
• BodyMaps / ShapeKit
  [MICCAIW 2025] ShapeKit
  ☆19Updated last month
• obiyoag / BayeSeg
  [MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpre…
  ☆89Updated last year
• PengchengShi1220 / NexToU
  NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation
  ☆81Updated 2 months ago
• Luoxd1996 / RobustNPC
  [GreenJournal2023] Deep learning-based accurate delineation of primary gross tumor volume of nasopharyngeal carcinoma on heterogeneous ma…
  ☆12Updated 3 years ago
• HiLab-git / PA-Seg
  PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillatio…
  ☆23Updated 2 years ago
• YaoZhang93 / FLARE2021-Baseline
  [MICCAI 2021 Challenge] The official baseline model for MICCAI Challenge: Fast and Low GPU memory Abdominal oRgan sEgmentation (FLARE21)
  ☆42Updated 2 years ago
• Luoxd1996 / nnunet_mini
  ☆22Updated 2 years ago