Jan 28, 2022 · The lung parenchyma segmentation was obtained by a threshold-based method using the open-source 3D Slicer software and software tools called Segment Editor and ...
Jan 28, 2022 · To segment the lungs affected by COVID-19 pneumonia, we decided to use the threshold-based method that creates binary partitions based on image ...
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In this study, we propose a new method to improve U-Net for lesion segmentation in the chest CT images of COVID-19 patients. 750 annotated chest CT images of ...
We propose an innovative automated segmentation pipeline for COVID-19 infected regions, which is able to handle small datasets by utilization as variant ...
Nov 28, 2023 · We aimed to develop a deep learning-based image segmentation model to automatically assess lung lesions related to COVID-19 infection and calculate the total ...
Feb 9, 2021 · Two structurally-different deep learning techniques, SegNet and U-NET, are investigated for semantically segmenting infected tissue regions in CT lung images.
Sep 23, 2024 · Here, lung lesion images are analyzed using a convolutional neural network (CNN) to look for COVID-19. The contributions of the suggested ...
In this work we propose a segmentation framework to detect chest regions in CT images, which are infected by COVID-19.
Nov 24, 2021 · The pathological region in the COVID-19 CT image can be automatically segmented, it will help doctors quickly determine the patient's infection.
COVID-19 CT Scan Lung Segmentation: How We Do It. https://doi.org/10.1007/s10278-022-00593-z. Journal: Journal of Digital Imaging, 2022, № 3, p. 424-431.