Alternatives and similar repositories for SEViT

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

• lambert-x / medical_mae
  The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"
  ☆77Updated last year
• MrGiovanni / ContinualLearning
  [MICCAI 2023] Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
  ☆70Updated 10 months ago
• xmed-lab / FDDM
  [MICCAI 2023] Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images
  ☆30Updated 6 months ago
• HealthX-Lab / BiomedCoOp
  [CVPR 2025] Official implementation of BiomedCoOp
  ☆54Updated 2 weeks ago
• FereshteShakeri / few-shot-MedVLMs
  ☆29Updated 8 months ago
• levayz / ProtoSAM
  Code implementation of ProtoSAM - One Shot Medical Image Segmentation with Foundationl Models
  ☆32Updated 8 months ago
• siyi-wind / MDViT
  [MICCAI 2023] MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets (an official implementation)
  ☆40Updated last year
• csyfjiang / M4oE
  ☆37Updated 4 months ago
• zylbuaa / ECL
  [MICCAI 2023] ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
  ☆26Updated last year
• windstormer / AME-CAM
  ☆25Updated 3 months ago
• BioMedIA-MBZUAI / XReal
  ☆21Updated last year
• ShahinaKK / LG_SDG
  Language Grounded Single Source Domain Generalization in Medical Image Segmentation [ISBI2024]
  ☆31Updated 8 months ago
• yhygao / universal-medical-image-segmentation
  ☆70Updated last year
• ShishuaiHu / CCSDG
  Code for [MICCAI 2023 (Early Accept)] Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.
  ☆32Updated 2 years ago
• Kaiseem / SLAug
  [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …
  ☆74Updated 8 months ago
• ymLeiFDU / CLIP-Lung
  CLIP-Lung (MICCAI 2023)
  ☆18Updated last year
• BioMedIA-MBZUAI / CoReEcho
  ☆13Updated 9 months ago
• asif-hanif / vafa
  [MICCAI 2023] Official code repository of paper titled "Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation"…
  ☆52Updated last year
• SakurajimaMaiii / ProtoKD
  [ICASSP 2023] Prototype Knowledge Distillation for Medical Segmentation with Missing Modality
  ☆52Updated 5 months ago
• Digital-Dermatology / t-loss
  Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
  ☆50Updated last year
• xmed-lab / CPR
  MICCAI 2023: Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation
  ☆14Updated 11 months ago
• StefanoWoerner / medimeta-pytorch
  The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides co…
  ☆41Updated last year
• ShishuaiHu / DCAC
  Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.
  ☆36Updated 2 years ago
• xmed-lab / CardiacNet
  ☆18Updated 2 months ago
• xmed-lab / AdaCon
  IEEE TMI 2021: AdaCon: Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment
  ☆20Updated 3 years ago
• SLDGroup / MERIT
  ☆58Updated 3 months ago
• xq141839 / ESP-MedSAM
  [ArXiv' 24] ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation
  ☆52Updated last month
• adigasu / Anatomically-aware_Uncertainty_for_Semi-supervised_Segmentation
  Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
  ☆19Updated last year
• XuzheZ / MAPSeg
  [CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding an…
  ☆48Updated 5 months ago
• xmed-lab / GraphEcho
  ICCV 2023, "GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation"
  ☆47Updated last year