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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Bibliographic Details
Main Author: Vieira, Pedro Miguel (author)
Other Authors: Freitas, Nuno Renato Azevedo (author), Valente, João (author), Vaz, A. Ismael F. (author), Rolanda, Carla (author), Lima, C. S. (author)
Format: article
Language:eng
Published: 2020
Subjects:
Anderson acceleration algorithm
capsule endoscopy
ensemble learning
support vector machines
fixed-point iteration
ROI selection
Science & Technology
Online Access:http://hdl.handle.net/1822/66953
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/66953

Internet

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

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