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.