Hybrid convolutional neural network and Flexible Dwarf Mongoose Optimization Algorithm for strong kidney stone diagnosis

•A novel methodology for kidney stone diagnosis using CNN and metaheuristic approach.•Image quality enhancement through preprocessing techniques and data augmentation.•A new introduced metaheuristic, termed Flexible Dwarf Mongoose Optimizer (FDMO).•Network weights optimizing using FDMO algorithm, re...

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Vydáno v:	Biomedical signal processing and control Ročník 91; s. 106024
Hlavní autoři:	Liu, Haozhi, Ghadimi, Noradin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.05.2024
Témata:	Convolutional neural network CT Kidney Dataset Flexible Dwarf Mongoose Optimization Algorithm Kidney stone diagnosis Metaheuristic approach Preprocessing techniques Kidney stone diagnosis Flexible Dwarf Mongoose Optimization Algorithm Metaheuristic approach CT Kidney Dataset Convolutional neural network Preprocessing techniques
ISSN:	1746-8094, 1746-8108
On-line přístup:	Získat plný text
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