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-1
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.
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Files are hosted on the source repository. Click download to access the full dataset.