COVID-Net Open Source Initiative
#计算机科学#COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were tra...
COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT
#数据仓库#Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learn...
#数据仓库#Collection of AI resources to fight against Coronavirus (COVID-19)
A Web Application to detect signs of COVID-19 presence from Chest X-Rays using Deep Learning
⚗ PyTorch implementation of COVID-Net training with CODIVx v3 dataset
ChRIS Plugin for Explainable AI visualization using the Grad-CAM algorithm.
ChRIS plugin for the COVIDNet CT that performs classification of COVID-19 from chest CT images.
COVID-Net Integration Repo to upload plugings to ChRIS and to upload sample DICOM images to COVID-Net.
#数据仓库#This is a repository for the opensource book project of 감염병 재난에 대응하기 위한 의료 인공지능의 기술 표준 동향(Current Trends and Standardization Efforts of Medical Artificial Intelligence on Infectious Disease Outbreaks,...