PVT based Blood Vessel Segmentation and Polyp Size Estimation in Colonoscopy Images

Insaf Setitra, Yuji Iwahori, Yacine Elhamer, Anais Mezrag, Shinji Fukui, Kunio Kasugai

2023

Abstract

The size of colorectal polyps is one of the factors conditioning the risk of synchronous and metachronous colorectal cancer (CRC). In this work, we are interested in the automatic measurement of polyp sizes in colonoscopy videos. The study is performed in two steps: (1) first the detection and segmentation of the polyp by the neural network Polyp-PVT and then (2) the classification of the polyp into different classes (type of disease, size of the polyp). This is done by extracting information from blood vessels, a parameter that has a low variability and is present in the majority of colonoscopic videos. This method has been validated by two local Hepato-Gastro-Enterology specialists. Once the size of the polyp is extracted, a classification of polyps as susceptible malignant (polyp size ≥ 6 mm) and susceptible benign (polyp size < 6 mm) is performed. Our approach reaches an accuracy of 85.61% for the first category and 73.92% for the second one and is comparable to human classification which is estimated to 52% for beginners and 71% for experts endoscopists.

Paper Citation

in Harvard Style

Setitra I., Iwahori Y., Elhamer Y., Mezrag A., Fukui S. and Kasugai K. (2023). PVT based Blood Vessel Segmentation and Polyp Size Estimation in Colonoscopy Images. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-626-2, pages 814-821. DOI: 10.5220/0011666700003411

in Bibtex Style

@conference{icpram23,
author={Insaf Setitra and Yuji Iwahori and Yacine Elhamer and Anais Mezrag and Shinji Fukui and Kunio Kasugai},
title={PVT based Blood Vessel Segmentation and Polyp Size Estimation in Colonoscopy Images},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2023},
pages={814-821},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011666700003411},
isbn={978-989-758-626-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - PVT based Blood Vessel Segmentation and Polyp Size Estimation in Colonoscopy Images
SN - 978-989-758-626-2
AU - Setitra I.
AU - Iwahori Y.
AU - Elhamer Y.
AU - Mezrag A.
AU - Fukui S.
AU - Kasugai K.
PY - 2023
SP - 814
EP - 821
DO - 10.5220/0011666700003411