Automatic Polyp Detection from Endoscope Image using Likelihood Map based on Edge Information

Yuji Iwahori, Hiroaki Hagi, Hiroyasu Usami, Robert J. Woodham, Aili Wang, M. K. Bhuyan, Kunio Kasugai

2017

Abstract

An endoscope is a medical instrument that acquires images inside the human body. This paper proposes a new approach for the automatic detection of polyp regions in an endoscope image by generating a likelihood map with both of edge and color information to obtain high accuracy so that probability becomes high at around polyp candidate region. Next, Histograms of Oriented Gradients (HOG) features are extracted from the detected region and random forests are applied for the classification to judge whether the detected region is polyp region or not. It is shown that the proposed approach has high accuracy for the polyp detection and the usefulness is confirmed through the computer experiments with endoscope images.

Paper Citation

in Harvard Style

Iwahori Y., Hagi H., Usami H., Woodham R., Wang A., Bhuyan M. and Kasugai K. (2017). Automatic Polyp Detection from Endoscope Image using Likelihood Map based on Edge Information . In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 402-409. DOI: 10.5220/0006189704020409

in Bibtex Style

@conference{icpram17,
author={Yuji Iwahori and Hiroaki Hagi and Hiroyasu Usami and Robert J. Woodham and Aili Wang and M. K. Bhuyan and Kunio Kasugai},
title={Automatic Polyp Detection from Endoscope Image using Likelihood Map based on Edge Information},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={402-409},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006189704020409},
isbn={978-989-758-222-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Automatic Polyp Detection from Endoscope Image using Likelihood Map based on Edge Information
SN - 978-989-758-222-6
AU - Iwahori Y.
AU - Hagi H.
AU - Usami H.
AU - Woodham R.
AU - Wang A.
AU - Bhuyan M.
AU - Kasugai K.
PY - 2017
SP - 402
EP - 409
DO - 10.5220/0006189704020409