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

Authors:
 [1];  [1];  [2];  [3];  [4];  [1]
  1. CMEMS‐UMinho Research Unit University of Minho Guimarães Portugal
  2. School of Health Polytechnic Institute of Castelo Branco Castelo Branco Portugal
  3. ALGORITMI Research Center University of Minho Campus of Gualtar 4710‐057Braga Portugal
  4. Gastroenterology Department of the Hospital of Braga Braga Portugal, ICVS/3B’s Associate Laboratory University of Minho Braga Portugal
Publication Date:
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE), Fuel Cycle Technologies (NE-5)
OSTI Identifier:
1573850
Grant/Contract Number:  
UID/EEA/04436/2019; SFRH/BD/92143/2013
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Medical Physics
Additional Journal Information:
Journal Name: Medical Physics; Journal ID: ISSN 0094-2405
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United States
Language:
English

Citation Formats

Vieira, Pedro M., Freitas, Nuno R., Valente, João, Vaz, Ismael F., Rolanda, Carla, and Lima, Carlos S. Automatic detection of small bowel tumors in wireless capsule endoscopy images using ensemble learning. United States: N. p., 2019. Web. doi:10.1002/mp.13709.
Vieira, Pedro M., Freitas, Nuno R., Valente, João, Vaz, Ismael F., Rolanda, Carla, & Lima, Carlos S. Automatic detection of small bowel tumors in wireless capsule endoscopy images using ensemble learning. United States. doi:10.1002/mp.13709.
Vieira, Pedro M., Freitas, Nuno R., Valente, João, Vaz, Ismael F., Rolanda, Carla, and Lima, Carlos S. Mon . "Automatic detection of small bowel tumors in wireless capsule endoscopy images using ensemble learning". United States. doi:10.1002/mp.13709.
@article{osti_1573850,
title = {Automatic detection of small bowel tumors in wireless capsule endoscopy images using ensemble learning},
author = {Vieira, Pedro M. and Freitas, Nuno R. and Valente, João and Vaz, Ismael F. and Rolanda, Carla and Lima, Carlos S.},
abstractNote = {},
doi = {10.1002/mp.13709},
journal = {Medical Physics},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {11}
}

Journal Article:
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