Open AccessConstruction of MRI-Based Alzheimer’s Disease Score Based on Efficient 3D Convolutional Neural Network: Comprehensive Validation on 7,902 Images from a Multi-Center Dataset
Author(s) -
Evangeline Yee,
Da Ma,
Karteek Popuri,
Lei Wang,
Mirza Faisal Beg,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2021
Publication title -
journal of alzheimer's disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.677
H-Index - 139
eISSN - 1875-8908
pISSN - 1387-2877
DOI - 10.3233/jad-200830
Subject(s) - generalizability theory , convolutional neural network , computer science , artificial intelligence , dementia , generalization , alzheimer's disease neuroimaging initiative , neuroimaging , pattern recognition (psychology) , test set , set (abstract data type) , machine learning , disease , neuroscience , pathology , medicine , mathematics , psychology , statistics , mathematical analysis , programming language
In recent years, many convolutional neural networks (CNN) have been proposed for the classification of Alzheimer's disease. Due to memory constraints, many of the proposed CNNs work at a 2D slice-level or 3D patch-level.