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.