项目作者: kaushikjadhav01

项目描述 :
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.
高级语言: Jupyter Notebook
项目地址: git://github.com/kaushikjadhav01/COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans.git