cheng-01037 / Self-supervised-Fewshot-Medical-Image-Segmentation
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
☆396Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Self-supervised-Fewshot-Medical-Image-Segmentation
- Semi-supervised Medical Image Segmentation through Dual-task Consistency☆293Updated 2 years ago
- Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI☆365Updated last year
- code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.☆481Updated 4 years ago
- This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103…☆393Updated 8 months ago
- [MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation☆292Updated 2 months ago
- A PyTorch framework for medical image segmentation☆270Updated 7 months ago
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆381Updated 3 years ago
- ☆221Updated 9 months ago
- Medical Image Segmentation using Squeeze-and-Expansion Transformers☆215Updated 2 years ago
- Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images☆162Updated 4 years ago
- [CVPR 2023] Label-Free Liver Tumor Segmentation☆315Updated 3 months ago
- PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.☆457Updated last month
- Official Code for *Mixed Transformer UNet for Medical Image Segmentation*☆160Updated 7 months ago
- ☆346Updated last week
- [CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets☆179Updated last year
- ☆284Updated last year
- [ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.☆580Updated last week
- Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.☆346Updated last year
- A collection of papers about Transformer in the field of medical image analysis.☆466Updated last year
- Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.☆168Updated 3 years ago
- [TMI'20, AAAI'19] Synergistic Image and Feature Adaptation☆255Updated 3 years ago
- [MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation☆245Updated last year
- The open source code of SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation.☆241Updated 7 months ago
- Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and app…☆208Updated 11 months ago
- Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in Me…☆657Updated 8 months ago
- Top 10 brats 2020 Solution☆167Updated 3 years ago
- ☆188Updated 2 years ago
- 3DUNet implemented with pytorch☆503Updated 3 years ago
- ☆182Updated 4 years ago
- The official repository of the 2021 Kidney and Kidney Tumor Segmentation Challenge☆173Updated last year