Alternatives and similar repositories for SegFormer3D

Users that are interested in SegFormer3D are comparing it to the libraries listed below

• Kent0n-Li / nnSAM
  ☆98Updated 2 years ago
• FengheTan9 / Medical-Image-Segmentation-Benchmarks
  A Pytorch implement of medical image segmentation U-shape architecture benchmarks
  ☆119Updated 4 months ago
• LeonidAlekseev / Swin-UNETR
  A novel segmentation model termed Swin UNEt TRansformers (Swin UNETR). Specially for the task of 3D semantic segmentation.
  ☆79Updated 3 years ago
• cchen-cc / MA-SAM
  PyTorch implementation for MA-SAM
  ☆170Updated 3 months ago
• xmed-lab / TriALS
  MICCAI 2024/2025: nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for segmentat…
  ☆117Updated 4 months ago
• yuhoo0302 / Segment-Anything-Model-for-Medical-Images
  Codes and models for Medical Image Analysis (MIA) 2023 paper. Segment Anything Model for Medical Images?.
  ☆166Updated last year
• halleewong / ScribblePrompt
  [ECCV 2024] ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image
  ☆204Updated 4 months ago
• yykzjh / PMFSNet
  ☆85Updated 11 months ago
• med-air / 3DSAM-adapter
  Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation
  ☆197Updated last year
• UARK-AICV / SAM3D
  [ISBI 2024] An implementation of SAM3D which adapts Segment Anything Model for Volumetric Medical Image Segmentation
  ☆81Updated last year
• Beckschen / 3D-TransUNet
  This is the official repository for the paper "3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers"
  ☆295Updated last year
• MASILab / 3DUX-Net
  ☆282Updated 2 years ago
• aigzhusmart / Slim-UNETR
  An Efficient, High-Quality 3D Segmentation for Medical Image Analysis with Constrained Computational Resources
  ☆39Updated 10 months ago
• Thanos-DB / FullyConvolutionalTransformer
  [WACV 2023] Official implementation of The Fully Convolutional Transformer for Medical Image Segmentation
  ☆141Updated 2 years ago
• yeerwen / UniSeg
  MICCAI 2023 Paper (Early Acceptance)
  ☆189Updated 2 years ago
• HealthX-Lab / MedCLIP-SAM
  Official implementation of MedCLIP-SAM (MICCAI 2024)
  ☆126Updated 4 months ago
• xianlin7 / SAMUS
  ☆243Updated 7 months ago
• RazvanDu / DUCK-Net
  Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
  ☆123Updated 2 years ago
• lhaof / nnMamba
  ☆91Updated 9 months ago
• Zyun-Y / DconnNet
  Codes for CVPR2023 paper "Directional Connectivity-based Segmentation of Medical Images"
  ☆153Updated last year
• whq-xxh / ADA4MIA
  Awesome Active Domain Adaptation for Medical Image Analysis
  ☆139Updated 11 months ago
• MIC-DKFZ / Skeleton-Recall
  Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
  ☆119Updated 4 months ago
• txchen-USTC / Zig-RiR
  [TMI 2025] Zig-RiR: Zigzag RWKV-in-RWKV for Efficient Medical Image Segmentation
  ☆62Updated 7 months ago
• cvlab-stonybrook / SelfMedMAE
  Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"
  ☆152Updated last year
• MIC-DKFZ / dynamic-network-architectures
  ☆136Updated last month
• Ziyan-Huang / FLARE22
  Champion Solution of MICCAI FLARE22 Challenge and FLARE24 Task2 Challenge based on nnU-Net.
  ☆79Updated last year
• Erfandarzi / Awesome-MICCAI-2024
  A collection of papers published in MICCAI 2024 with their code.
  ☆91Updated last year
• uni-medical / STU-Net
  The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up un…
  ☆349Updated last year
• Luffy03 / VoCo
  [CVPR 2024] VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
  ☆209Updated last week
• ricklisz / MedDINOv3
  MedDINOv3: How to adapt vision foundation models for medical image segmentation?
  ☆136Updated 2 months ago