DEHA-Net: A Dual-Encoder-Based Hard Attention Network with an Adaptive ROI Mechanism for Lung Nodule Segmentation

Measuring pulmonary nodules accurately can help the early diagnosis of lung cancer, which can increase the survival rate among patients. Numerous techniques for lung nodule segmentation have been developed; however, most of them either rely on the 3D volumetric region of interest (VOI) input by radi...

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Bibliographic Details

Published in:	Sensors (Basel, Switzerland) Vol. 23; no. 4; p. 1989
Main Authors:	Usman, Muhammad, Shin, Yeong-Gil
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 10.02.2023 MDPI
Subjects:	3D segmentation Adipates Algorithms Computer Systems Consensus dual-encoder-based CNN hard attention Humans Lung cancer lung nodule segmentation Medical research dual-encoder-based CNN lung nodule segmentation 3D segmentation hard attention
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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