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

doi:10.1002/mp.13709

This content will become publicly available on November 10, 2020

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

Authors:

Vieira, Pedro M. ^[1]; Freitas, Nuno R. ^[1]; Valente, João ^[2]; Vaz, Ismael F. ^[3]; Rolanda, Carla ^[4]; Lima, Carlos S. ^[1]

CMEMS‐UMinho Research Unit University of Minho Guimarães Portugal
School of Health Polytechnic Institute of Castelo Branco Castelo Branco Portugal
ALGORITMI Research Center University of Minho Campus of Gualtar 4710‐057Braga Portugal
Gastroenterology Department of the Hospital of Braga Braga Portugal, ICVS/3B’s Associate Laboratory University of Minho Braga Portugal

Publication Date:: 2019-11-11

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.

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                    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.

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                    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.

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@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}

}

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DOI: 10.1002/mp.13709

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Works referenced in this record:

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Similar Records

This content will become publicly available on November 10, 2020

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

Citation Formats

Small bowel malignancy journal, January 2004

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A novel least squares support vector machine ensemble model for NOx emission prediction of a coal-fired boiler journal, June 2013

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Detection of small bowel tumor based on multi-scale curvelet analysis and fractal technology in capsule endoscopy journal, March 2016

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