Colon Disease Diagnosis with Convolutional Neural Network and Grasshopper Optimization Algorithm

This paper presents a robust colon cancer diagnosis method based on the feature selection method. The proposed method for colon disease diagnosis can be divided into three steps. In the first step, the images’ features were extracted based on the convolutional neural network. Squeezenet, Resnet-50,...

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Библиографические подробности

Главные авторы:	Amna Ali A. Mohamed, Aybaba Hançerlioğullari, Javad Rahebi, Mayukh K. Ray, Sudipta Roy
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2023-05-01
Серии:	Diagnostics
Предметы:	colon disease diagnose convolutional neural network grasshopper optimization algorithm machine learning
Online-ссылка:	https://www.mdpi.com/2075-4418/13/10/1728
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