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

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

Gastrointestinal tract is a series of hollow organs connected in a long tube twisting from the mouth to the anus. Recovery of gastrointestinal diseased patients depends on the early diagnosis of the disease and proper treatment. In recent years, the diagnosis of gastrointestinal tract diseases using...

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Bibliographic Details
Main Authors: Melaku Bitew Haile, Ayodeji Olalekan Salau, Belay Enyew, Abebech Jenber Belay
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Cogent Engineering
Subjects:
Convolutional neural network
Concatenated model
Endoscopy imaging
Gastrointestinal disease
Classification
Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2022.2084878

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