COVID-19 CT Pulmonary Parenchyma Image Database

This repository contains computed tomography (CT) images, segmentation masks, and classification results developed for automatic pulmonary parenchyma identification and ground-glass opacity (GGO) and pulmonary infiltrate (PI) segmentation in patients diagnosed with COVID-19.

Repository Contents

Contains:

pulmonary parenchyma segmentation images,

ground-glass opacity (GGO) segmentation images,

pulmonary infiltrate (PI) segmentation images,

quantitative classification results.

All segmentation images are provided in BMP format.

Dataset Characteristics

Imaging modality: Computed Tomography (CT)

Disease: COVID-19

Targets:

Pulmonary parenchyma

Ground-glass opacity (GGO)

Pulmonary infiltrates (PI)

Image format: BMP

The images provided in this dataset were generated in:

TELLO-MIJARES, Santiago; WOO, Luisa. Computed Tomography Image Processing Analysis in COVID‐19 Patient Follow‐Up Assessment. Journal of Healthcare Engineering, 2021, vol. 2021, no 1, p. 8869372.