fatLime

1MarkDown

MarkDown 语法团队规范

AzureChestXRay

Intelligent disease prediction system that can help radiologists review Chest X-rays more efficiently.

bupt.github.io

Team Blog Open for All BUPT Students, Post by Sending a Pull Request.

CAD

Awesome CAD - Our lab is doing Cloud, AI, and Data.

crowdcount-mcnn

Single Image Crowd Counting via MCNN (Unofficial Implementation)

Detect-pulmonary-disease-through-Chest-X-ray

This project trains a deep learning model which can detect 14 kinds of pulmonary disease by analyzing the chest X-ray

Predict-Lung-Disease

Predict-Lung-Disease-through-Chest-X-Ray

torch-light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

fatLime/Predict-Lung-Disease

fatLime/Detect-pulmonary-disease-through-Chest-X-ray

This project trains a deep learning model which can detect 14 kinds of pulmonary disease by analyzing the chest X-ray

fatLime/1MarkDown

MarkDown 语法团队规范

fatLime/AzureChestXRay

Intelligent disease prediction system that can help radiologists review Chest X-rays more efficiently.

fatLime/bupt.github.io

Team Blog Open for All BUPT Students, Post by Sending a Pull Request.

fatLime/CAD

Awesome CAD - Our lab is doing Cloud, AI, and Data.

fatLime/crowdcount-mcnn

Single Image Crowd Counting via MCNN (Unofficial Implementation)

fatLime/Predict-Lung-Disease-through-Chest-X-Ray

fatLime/torch-light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.