COVID-19 Lung CT Image Database

This repository contains a computed tomography (CT) image database, ground truth annotations, image processing results, and classification data developed for automatic lung parenchyma segmentation and COVID-19 severity classification research.

Repository Contents

The repository contains the following folders:

aOriginal_image_GGO-PI_PP

Contains:

original computed tomography (CT) images,

lung parenchyma (PP) images,

ground truth masks,

ground-glass opacity and pulmonary infiltrate (GGO-PI) annotations.

All images are provided in JPG format.

cPROCESSING_images_RESULTS

Contains:

processed CT image results,

saliency map outputs,

DCT energy map results,

fused feature images (FF),

final quantitative classification outputs.

All processed images are provided in JPG format.

Dataset Characteristics

Imaging modality: Computed Tomography (CT)

Disease: COVID-19

Number of patients: 44

Image format: JPG

Classification task: COVID-19 severity assessment

Segmentation targets:

Lung parenchyma (PP)

Ground-glass opacity (GGO)

Pulmonary infiltrates (PI)

The images provided in this dataset were generated in:

 TELLO-MIJARES, Santiago; WOO, Fomuy. Novel COVID-19 Diagnosis Delivery App Using Computed Tomography Images Analyzed with Saliency-Preprocessing and Deep Learning. Tomography, 2022, vol. 8, no 3, p. 1618-1630.