Automatic detection of small bowel tumors in wireless capsule endoscopy images using ensemble learning

Purpose Wireless Capsule Endoscopy (WCE) is a minimally invasive diagnosis tool for lesion detection in the gastrointestinal tract, reaching places where conventional endoscopy is unable to. However, the significant amount of acquired data leads to difficulties in the diagnosis by the physicians; wh...

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Detalhes bibliográficos
Autor principal: Vieira, Pedro Miguel (author)
Outros Autores: Freitas, Nuno Renato Azevedo (author), Valente, João (author), Vaz, A. Ismael F. (author), Rolanda, Carla (author), Lima, C. S. (author)
Formato: article
Idioma:eng
Publicado em: 2020
Assuntos:
Anderson acceleration algorithm
capsule endoscopy
ensemble learning
support vector machines
fixed-point iteration
ROI selection
Science & Technology
Texto completo:http://hdl.handle.net/1822/66953
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/66953

Texto Completo

http://hdl.handle.net/1822/66953

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