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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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 23; H. 4; S. 1989
Hauptverfasser:	Usman, Muhammad, Shin, Yeong-Gil
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 10.02.2023 MDPI
Schlagworte:	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-Zugang:	Volltext
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