There are 1 repository under covid-net topic.
COVID-Net Open Source Initiative
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 trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.
COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT
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 learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global multi-disciplinary team of researchers, developers, and clinicians have made publicly available a suite of tailored deep neural network models for tackling different challenges ranging from screening to risk stratification to treatment planning for patients with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Furthermore, we have made available fully curated, open access benchmark datasets comprised of some of the largest, most diverse patient cohorts from around the world.
Collection of AI resources to fight against Coronavirus (COVID-19)
AI-Powered Clinical Decision Support Platform for 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.
COVID-Net ChRIS plugin for PDF report generation.
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, including COVID-19).