Development and Validation of a Deep Learning-Based Automatic Brain Segmentation and Classification Algorithm for Alzheimer Disease Using 3D T1-Weighted Volumetric Images

Limited evidence has suggested that a deep learning automatic brain segmentation and classification method, based on T1-weighted brain MR images, can predict Alzheimer disease. Our aim was to develop and validate a deep learning-based automatic brain segmentation and classification algorithm for the...

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Bibliographic Details

Published in:	American journal of neuroradiology : AJNR Vol. 41; no. 12; p. 2227
Main Authors:	Suh, C H, Shim, W H, Kim, S J, Roh, J H, Lee, J-H, Kim, M-J, Park, S, Jung, W, Sung, J, Jahng, G-H
Format:	Journal Article
Language:	English
Published:	United States 01.12.2020
Subjects:	Aged Aged, 80 and over Algorithms Alzheimer Disease - diagnostic imaging Cognitive Dysfunction - diagnostic imaging Deep Learning Female Humans Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - methods Magnetic Resonance Imaging - methods Male Middle Aged Neuroimaging - methods
ISSN:	1936-959X, 1936-959X
Online Access:	Get more information
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