LTYUnique

CPR-SNN

SAGS-Net

EEG-Datasets

A list of all public EEG-datasets

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

awesome-image-classification

A curated list of deep learning image classification papers and codes

PathomicFusion

Fusing Histology and Genomics via Deep Learning - IEEE TMI

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

MT-TransUNet

UTNet

Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

ICCV2021-Paper-Code-Interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

CMeKG_tools

TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

breast_mri_fusion

[CVAMD 2021] "End-to-End Learning of Fused Image and Non-Image Feature for Improved Breast Cancer Classification from MRI"

TensorFlow2.0_ResNet

A ResNet(ResNet18, ResNet34, ResNet50, ResNet101, ResNet152) implementation using TensorFlow-2.0.

siren

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

ifl_unsup_anom_det

LITS2017-main2

liver tumor segmentation(3d UNet) for LITS2017

multimodal-recurrence

Code accompanying the paper "Multimodal fusion of imaging and genomics for lung cancer recurrence prediction" - Vaishnavi Subramanian, Minh N. Do, Tanveer Syeda-Mahmood (ISBI 2020)

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

multi-scale-curriculum

Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification

ModelsGenesis

Official Keras&PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

Imaging-Processing-Programs

In this repository, there are some programs about imaging processing worte by myself.

DS-SFFNet

Deep supervision spatial Feature Fusion convolutional network (DS-SFFNet) is an end-to-end liver and liver tumor segmentation neural network, which based on deep supervision mechnaism and residual attention mechnaism.

Awesome-CV

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

MNet_DeepCDR

Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

unet-lits-2d-pipeline

Liver Lesion Segmentation with 2D Unets

AutoMetric

draw ROC,PR curve and calculate AUC MAP IoU for image semantic segmentation problem

segmentation_models

Segmentation models with pretrained backbones. Keras.