COVID-19 CT Pulmonary Parenchyma Image Database
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.
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!