RAt-CapsNet: A Deep Learning Network Utilizing Attention and Regional Information for Abnormality Detection in Wireless Capsule Endoscopy

<bold>Background</bold>: The emergence of wireless capsule endoscopy (WCE) has presented a viable non-invasive mean of identifying gastrointestinal diseases in the field of clinical gastroenterology. However, to overcome its extended time of manual inspection, a computer aided automatic detection sy...

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Autori principali:	Md. Jahin Alam, Rifat Bin Rashid, Shaikh Anowarul Fattah, Mohammad Saquib
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2022-01-01
Serie:	IEEE Journal of Translational Engineering in Health and Medicine
Soggetti:	Wireless capsule endoscopy deep CNN GI tract attention mechanism pyramid
Accesso online:	https://ieeexplore.ieee.org/document/9856641/
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