Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models

Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models

Imaging plays a key role in the clinical management of Coronavirus disease 2019 (COVID-19) as the imaging findings reflect the pathological process in the lungs. The visual analysis of High-Resolution Computed Tomography of the chest allows for the differentiation of parenchymal abnormalities of COV...

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Bibliographic Details
Main Authors:	Rossana Buongiorno, Giulio Del Corso, Danila Germanese, Leonardo Colligiani, Lorenzo Python, Chiara Romei, Sara Colantonio
Format:	Article
Language:	English
Published:	MDPI AG 2023-12-01
Series:	Journal of Imaging
Subjects:	COVID-19 segmentation deep learning convolutional neural networks UNet attention mechanism
Online Access:	https://www.mdpi.com/2313-433X/9/12/283

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