yanghan-yh / UGS-Net
Lung Nodule Segmentation and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism
☆23Updated last year
Alternatives and similar repositories for UGS-Net:
Users that are interested in UGS-Net are comparing it to the libraries listed below
- included model train、test、validation、evaluation etc☆15Updated 9 months ago
- personal toolbox for lidc-idri dataset / lung cancer / nodule☆25Updated last year
- This repository is an unoffical PyTorch implementation of Semi-Supervised Learning on Medical Segmentation in 2D and 3D.☆44Updated 2 years ago
- ☆44Updated last year
- MIA 2021 paper 'Global guidance network for breast lesion segmentation in ultrasound images'.☆29Updated 3 years ago
- CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans☆32Updated last year
- [Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric M…☆74Updated last year
- pytorch implementation for The Fully Convolutional Transformer(FCT)☆40Updated last year
- This is a nnUNet for semi-supervised☆17Updated 2 years ago
- 【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"☆49Updated last year
- [MedIA23] Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation☆24Updated last year
- [MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segment…☆48Updated 3 years ago
- ☆52Updated 2 years ago
- PyTorch implementation for our paper on TMI2022: Retinal Vessel Segmentation with Skeletal Prior and Contrastive Loss☆53Updated last month
- [MICCAI2022] PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation☆34Updated 2 years ago
- official implementation of rectified contrastive pseudo supervision☆64Updated 10 months ago
- PyTorch implementation of segmentation models for breast ultrasound images.☆34Updated 3 years ago
- [MICCAI21, TMI22] Mean-Teacher-Assisted Confident Learning☆74Updated last year
- 胶质瘤图像分割,包括常用的U-Net网络和V-Net网络等(2D和3D)。