Detection and classification of gastrointestinal disease using convolutional neural network and SVM-Reference-Cited by-同舟云学术

Detection and classification of gastrointestinal disease using convolutional neural network and SVM

Published:2022-06-06 Issue:1 Volume:9 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Haile Melaku Bitew¹,Salau Ayodeji Olalekan²³^ORCID,Enyew Belay¹,Belay Abebech Jenber¹

Affiliation:

1. Department of Information Technology, College of Informatics, University of Gondar, Gondar, Ethiopia

2. Department of Electrical/Electronics and Computer Engineering, Afe Babalola University, Ado-Ekiti, Nigeria

3. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India

Funder

no funding to report

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2022.2084878

Reference50 articles.

1. MRI Medical Image Denoising by Fundamental Filters

2. Aychew, S. (2020). Designing army worm insect detection and classification model using deep convolution neural network. https://ir.bdu.edu.et/handle/123456789/10890?show=full

3. HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

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