Segmentation COVID-19 Lung Infections with the R-CNN Mask Network
DOI:
https://doi.org/10.59681/2175-4411.v15.iEspecial.2023.1100Keywords:
Image Processing, Computer-Assisted, COVID-19, CT scansAbstract
COVID-19 has spread around the world causing depletion of medical resources in several countries. Computational methods that analyze images of pulmonary infections can be used for diagnosis and estimation of the evolution of this disease. The paper presents the results of a deep learning model (Mask R-CNN), for automatic segmentation of lung infections in CT scans, using the COVID-19 CT Lung and Infection Segmentation Dataset. The best results of this paper, with the network that performs the segmentation of lungs, were 69.92% for the Dice index and 55.72% for the Jaccard index.
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Copyright (c) 2023 Hugo Silveira Sousa, Abdenago Alves Pereira Neto, Iális Cavalcante de Paula Júnior, Clara Ricardo de Melo
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