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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Vydané v:	Sensors (Basel, Switzerland) Ročník 23; číslo 4; s. 1989
Hlavní autori:	Usman, Muhammad, Shin, Yeong-Gil
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 10.02.2023 MDPI
Predmet:	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
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