SARS-CoV-2 Microscopy Images Database

This repository contains a database of SARS-CoV-2 electron microscopy images, ground truth annotations, and segmentation results developed for deep learning–based semantic segmentation research. This dataset may support future research in: medical image analysis, artificial intelligence, semantic segmentation, virology, microscopy image processing, explainable AI for biomedical imaging. Repository Contents The repository is organised into one folder: · Original microscopy images of the SARS-CoV-2 virus; 3. · Ground Truth Images from microscopy images of the SARS-CoV-2 virus for artificial intelligence applications · Segmentation results generated using CNN, GVF, and PIG approaches. The images provided in this dataset were generated in: Cascade Semantic Segmentation by a Convolutional Neural Network in Combination with Image Super-Euclidean Pixels Processing for SARS-CoV-2 Microscopy Images. S Tello-Mijares, F Flores, F Woo. Viruses 18 (6), 1-23.