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3d-unet--tensorflow

3D Unet for Isointense Infant Brain Image Segmentation

3dunet-tensorflow-brats18

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

adam2020

Solution to MICCAI 2020 ADAM

ah-net

The Pytorch implementation of the 3D Anisotropic Hybrid Network described in the paper "3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes"

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

ai-news

Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)

ai-research-tools

:hammer:AI 方向好用的科研工具

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

brats-dmfnet

code_attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

code_ca-net

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

code_image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

code_inf-net

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.

code_pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

code_seg-uncertainty

IJCAI2020 & IJCV 2020 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo

code_ua-mt

code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

code_vnet.pytorch

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

conresnet

[IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation

courses

fast.ai Courses

crf-semantic-segmentation

使用CRF进行语义分割

crfasrnn_pytorch

CRF-RNN PyTorch version http://crfasrnn.torr.vision

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dtc

Semi-supervised Medical Image Segmentation through Dual-task Consistency

elastic

external-attention-pytorch

Pytorch implementation of various Attention Mechanism