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

Background: 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 system is getti...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9401095/
https://www.ncbi.nlm.nih.gov/pubmed/36032311
http://dx.doi.org/10.1109/JTEHM.2022.3198819

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9401095/
https://www.ncbi.nlm.nih.gov/pubmed/36032311
http://dx.doi.org/10.1109/JTEHM.2022.3198819

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