loading
Documents

Research.Publish.Connect.

Paper

Authors: Lourdes Duran-Lopez ; Francisco Luna-Perejon ; Isabel Amaya-Rodriguez ; Javier Civit-Masot ; Anton Civit-Balcells ; Saturnino Vicente-Diaz and Alejandro Linares-Barranco

Affiliation: Robotics and Computer Technology Lab., University of Seville, Av. Reina Mercedes s/n, Seville and Spain

ISBN: 978-989-758-354-4

Keyword(s): Polyp, Colonoscopy, Deep Learning, Image Analysis, Faster Regional Convolutional Neural Network.

Abstract: Colorectal cancer is the third most frequently diagnosed malignancy in the world. To prevent this disease, polyps, the principal precursor, are removed during a colonoscopy. Automatic detection of polyps in this technique could play an important role to assist doctors for achieving an accurate diagnosis. In this work, we apply a state-of-the-art Deep Learning algorithm called Faster Regional Convolutional Neural Network to each colonoscopy frame in order to detect the presence of polyps. The proposed detection system contains two main stages: (1) processing of the colonoscopy frames for training and testing datasets generation, where artifacts are extracted and the number of images in the dataset is augmented; and (2) the Neural Network model, which performs feature extraction over the frames in order to detect polyps within the frames. After training the algorithm under different conditions, our result shows that the proposed system detection has a precision of 80.31%, a recall of 75 .37%, an accuracy of 71.99% and a specificity of 65.70%. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.169.76

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Duran-Lopez, L.; Luna-Perejon, F.; Amaya-Rodriguez, I.; Civit-Masot, J.; Civit-Balcells, A.; Vicente-Diaz, S. and Linares-Barranco, A. (2019). Polyp Detection in Gastrointestinal Images using Faster Regional Convolutional Neural Network.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: GIANA, ISBN 978-989-758-354-4, pages 626-631. DOI: 10.5220/0007698406260631

@conference{giana19,
author={Lourdes Duran{-}Lopez. and Francisco Luna{-}Perejon. and Isabel Amaya{-}Rodriguez. and Javier Civit{-}Masot. and Anton Civit{-}Balcells. and Saturnino Vicente{-}Diaz. and Alejandro Linares{-}Barranco.},
title={Polyp Detection in Gastrointestinal Images using Faster Regional Convolutional Neural Network},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: GIANA,},
year={2019},
pages={626-631},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007698406260631},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: GIANA,
TI - Polyp Detection in Gastrointestinal Images using Faster Regional Convolutional Neural Network
SN - 978-989-758-354-4
AU - Duran-Lopez, L.
AU - Luna-Perejon, F.
AU - Amaya-Rodriguez, I.
AU - Civit-Masot, J.
AU - Civit-Balcells, A.
AU - Vicente-Diaz, S.
AU - Linares-Barranco, A.
PY - 2019
SP - 626
EP - 631
DO - 10.5220/0007698406260631

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.