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Authors: Jarbas Joaci de Mesquita Sá Junior 1 and André Backes 2

Affiliations: 1 Programa de Pós-Graduação em Engenharia Elétrica e de Computação, Brazil ; 2 Department of Computing, Federal University of São Carlos, Brazil

Keyword(s): Randomized Neural Network, Colorectal Database, Texture Analysis.

Abstract: Colorectal cancer is among the highest incident cancers in the world. A fundamental procedure to diagnose it is the analysis of histological images acquired from a biopsy. Because of this, computer vision approaches have been proposed to help human specialists in such a task. In order to contribute to this field of research, this paper presents a novel way of analyzing colorectal images by using a very discriminative texture signature based on weights of a randomized neural network. For this, we addressed an important multi-class problem composed of eight types of tissues. The results were promising, surpassing the accuracies of many methods present in the literature. Thus, this performance confirms that the randomized neural network signature is an efficient tool for discriminating histological images from colorectal tissues.

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Paper citation in several formats:
Joaci de Mesquita Sá Junior, J. and Backes, A. (2024). Colorectal Image Classification Using Randomized Neural Network Descriptors. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 800-805. DOI: 10.5220/0012507200003660

@conference{visapp24,
author={Jarbas {Joaci de Mesquita Sá Junior}. and André Backes.},
title={Colorectal Image Classification Using Randomized Neural Network Descriptors},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2024},
pages={800-805},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012507200003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - Colorectal Image Classification Using Randomized Neural Network Descriptors
SN - 978-989-758-679-8
IS - 2184-4321
AU - Joaci de Mesquita Sá Junior, J.
AU - Backes, A.
PY - 2024
SP - 800
EP - 805
DO - 10.5220/0012507200003660
PB - SciTePress

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