Open AccessDeep Learning Type Convolution Neural Network Architecture for Multiclass Classification of Alzheimer’s Disease
Author(s) -
Gopi Battineni,
Nalini Chintalapudi,
Francesco Amenta,
Enea Traini
Publication year - 2021
Publication title -
proceedings of the 15th international joint conference on biomedical engineering systems and technologies
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0010378602090215
Subject(s) - computer science , convolution (computer science) , artificial intelligence , artificial neural network , architecture , alzheimer's disease , type (biology) , deep learning , disease , pattern recognition (psychology) , medicine , pathology , biology , geography , ecology , archaeology
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