TY - GEN
T1 - Performance improvement of Alzheimer's disease classification inspired by CNN in brain age estimation
AU - Endo, Daiki
AU - Ito, Koichi
AU - Aoki, Takafumi
N1 - Publisher Copyright:
© 2021 SPIE.
PY - 2021
Y1 - 2021
N2 - Alzheimer's disease (AD) is a progressive brain disease that causes a different pattern of brain atrophy from normal aging. Early identification of AD is crucial since the progression of the disease can be slowed down by medication. In the field of image recognition, its accuracy has been significantly improved by using convolutional neural networks (CNNs). Similarly, in the field of medical image processing, researches on the diagnostic support using CNN have been studied. In this paper, we propose an AD classification method using CNN, inspired by the success of CNNs in brain age estimation. Through experiments using a large-scale database, we demonstrate the effectiveness of our proposed method.
AB - Alzheimer's disease (AD) is a progressive brain disease that causes a different pattern of brain atrophy from normal aging. Early identification of AD is crucial since the progression of the disease can be slowed down by medication. In the field of image recognition, its accuracy has been significantly improved by using convolutional neural networks (CNNs). Similarly, in the field of medical image processing, researches on the diagnostic support using CNN have been studied. In this paper, we propose an AD classification method using CNN, inspired by the success of CNNs in brain age estimation. Through experiments using a large-scale database, we demonstrate the effectiveness of our proposed method.
KW - Alzheimer's disease
KW - brain age estimation
KW - brain MRI image
UR - http://www.scopus.com/inward/record.url?scp=85107038488&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85107038488&partnerID=8YFLogxK
U2 - 10.1117/12.2590826
DO - 10.1117/12.2590826
M3 - Conference contribution
AN - SCOPUS:85107038488
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - International Forum on Medical Imaging in Asia 2021
A2 - Chang, Ruey-Feng
PB - SPIE
T2 - International Forum on Medical Imaging in Asia 2021, IFMIA 2021
Y2 - 24 January 2021 through 26 January 2021
ER -