yousuf-siat Goto Github PK

2d-unet-pytorch

使用Pytorch实现2D-UNet和UNet++(NestedUNet)对Chaos、Promise12两个个数据集进行分割

3d-boundary-constrained-networks

Boundary-constrained models for 3D abdominal multi-organ segmentation (Pytorch implementation)

a-segan

abdomenct-1k

The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"

ac-mt

[MedIA23] Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation

action

[IPMI'23 && MICCAI'23] ACTION Family: Anatomical Contrast Distillation for Semi-supervised Medical Image Segmentation

adaptive-region-specific-loss

Thanks for the work by: Chen Y, Yu L, Wang J Y, et al. Adaptive Region-Specific Loss for Improved Medical Image Segmentation.

adnet

Code for the paper "Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels".

aide

AIDE: Annotation-efficient deep learning for automatic medical image segmentation

amos

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

ase-net

boundarydouloss

Code for Boundary Difference Over Union Loss For Medical Image Segmentation

boxes_tightness_prior

Oral presentation at MIDL 2020 - Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision

brain-tumor-segmentation-brats-2019

This repo contains Brain Tumor Segmentation BraTS 2019

brainstorm

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

buct_vision_resource

入门基础资料

cine_mri_convlstm

This is the code for the paper "Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network"

co-bionet

[Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation

collaborative-learning

confkd

Code for our paper : Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. https://arxiv.org/abs/2109.10902

coranet

curriculum-labeling

[AAAI 21] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

deep-geometric-distillation-network-for-cs-mri

desco

dodnet

[CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets

dtc

Semi-supervised Medical Image Segmentation through Dual-task Consistency

er-net

etci-2021-competition-on-flood-detection

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images.

fastmri-1

This repository is cloned from https://github.com/facebookresearch/fastMRI