Alternatives and similar repositories for ADNet:

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

• shenqq377 / Q-Net
  Python codes to implement Q-Net, a meta-learning method for few shot medical image segmentation
  ☆47Updated last year
• cvszusparkle / AAS-DCL_FSS
  Dual Contrastive Learning for Few-shot Medical Image Segmentation
  ☆26Updated 2 years ago
• hust-linyi / CAT-Net
  This is the official code of the paper "Few Shot Medical Image Segmentation with Cross Attention Transformer"
  ☆47Updated last year
• primebo1 / FAMNet
  [AAAI 25] FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
  ☆30Updated last week
• YazhouZhu19 / RPT
  [MICCAI 2023] Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer
  ☆46Updated 3 weeks ago
• zhuye98 / ICL
  The official repo for [MIDL'23 Oral] "Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation"
  ☆29Updated 9 months ago
• warmestwind / RAPNet
  ☆13Updated last year
• igip-liu / SLC-Net
  ☆44Updated last year
• Senyh / UCMT
  [IJCAI 2023] Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
  ☆49Updated 10 months ago
• ShishuaiHu / DCAC
  Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.
  ☆35Updated 2 years ago
• Jiawei0o0 / mutual-learning-with-reliable-pseudo-labels
  ☆25Updated 5 months ago
• uci-cbcl / RP-Net
  Code for Recurrent Mask Refinement for Few-Shot Medical Image Segmentation (ICCV 2021).
  ☆58Updated 3 years ago
• TFboys-lzz / MPSCL
  This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Imag…
  ☆30Updated 2 years ago
• wxfaaaaa / DCNet
  Decoupled Consistency for Semi-supervised Medical Image Segmentation(MICCAI 2023)
  ☆22Updated last year
• WYC-321 / MCF
  ☆48Updated last year
• koncle / CoraNet
  ☆52Updated 2 years ago
• hritam-98 / PatchCL-MedSeg
  ☆54Updated last year
• ReaFly / SemiMedSeg
  MICCAI 2021 : Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation (Pytorch implementation).
  ☆24Updated 2 years ago
• taovv / UGPCL
  [IJCAI' 22] Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation.
  ☆24Updated 2 years ago
• CUHK-AIM-Group / DiffRect
  [MICCAI' 24] DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation
  ☆41Updated 3 months ago
• windstormer / AME-CAM
  ☆23Updated 3 weeks ago
• ZhenZHAO / AD-MT
  [ECCV'24] Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation
  ☆35Updated 8 months ago
• ShishuaiHu / CCSDG
  Code for [MICCAI 2023 (Early Accept)] Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.
  ☆30Updated last year
• maxwell0027 / PEFAT
  [CVPR2023]PEFAT: Boosting Semi-supervised Medical Image Classification via Pseudo-loss Estimation and Feature Adversarial Training
  ☆48Updated last year
• JuzhengMiao / CauSSL
  ☆24Updated last year
• DeepMed-Lab-ECNU / MagicNet
  MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery (CVPR 2023)
  ☆58Updated 4 months ago
• Kaiseem / SLAug
  [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …
  ☆73Updated 5 months ago
• krishnabits001 / pseudo_label_contrastive_training
  Code for Pseudo label based contrastive learning joint training approach
  ☆56Updated 3 years ago
• CSCYQJ / MICCAI23-ProtoContra-SFDA
  This is the official code of MICCAI23 paper "Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature …
  ☆32Updated last year
• xmed-lab / OEEM
  MICCAI 2022: Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images
  ☆35Updated 2 years ago