wuioan

SAM4MIS

SAM & SAM 2 for Medical Image Segmentation: Open-Source Project Summary

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

BigAug_torchio

An implementation of the BigAug augmentation pipeline compatible with the torchio package

AADG

[TMI'22] "AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation".

DoDNet

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

DCAC

Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.

DyDA

Official Implementation for DyDG for one-to-multiple medical image segmentation

Probabilistic-Domain-Adaptation

Probabilistic Domain Adaptation for Biomedical Image Segmentation

ChatGLM-6B

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

SIFA

[TMI'20, AAAI'19] Synergistic Image and Feature Adaptation

CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

adversarial-feature-augmentation

Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

IntraDA

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

UDA-via-joint-adversarial-learning-and-self-learning

Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning

pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms

ProDA

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

dataset

医学影像数据集列表 『An Index for Medical Imaging Datasets』

SyntheticTumors

[CVPR 2023] Label-Free Liver Tumor Segmentation

AIDE

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

brats

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

ESPNetv2

A light-weight, power efficient, and general purpose convolutional neural network

ESPNet

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

SpectFormers

EPSANet

Brain-Tumor-Segmentation

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

brats-e1d3

E1D3 U-Net for Brain Tumor Segmentation