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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Veröffentlicht in:	Biomedical signal processing and control Jg. 91; S. 106024
Hauptverfasser:	Liu, Haozhi, Ghadimi, Noradin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.05.2024
Schlagworte:	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
Online-Zugang:	Volltext
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