Diagnosis of Alzheimer’s Disease Using Convolutional Neural Network With Select Slices by Landmark on Hippocampus in MRI Images-Reference-Cited by-同舟云学术

Diagnosis of Alzheimer’s Disease Using Convolutional Neural Network With Select Slices by Landmark on Hippocampus in MRI Images

Published:2023 Issue: Volume:11 Page:61688-61697
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pusparani Yori¹,Lin Chih-Yang²^ORCID,Jan Yih-Kuen³^ORCID,Lin Fu-Yu⁴,Liau Ben-Yi⁵,Ardhianto Peter⁶,Farady Isack⁷,Alex John Sahaya Rani⁸^ORCID,Aparajeeta Jeetashree⁸^ORCID,Chao Wen-Hung⁹,Lung Chi-Wen³^ORCID

Affiliation:

1. Department of Visual Communication Design, Budi Luhur University, Jakarta, Indonesia

2. Department of Mechanical Engineering, National Central University, Chung-Li, Taoyuan City, Taiwan

3. Department of Kinesiology and Community Health, Rehabilitation Engineering Laboratory, University of Illinois at Urbana–Champaign, Urbana, IL, USA

4. Department of Neurology, China Medical University Hospital, Taichung, Taiwan

5. Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan

6. Department of Visual Communication Design, Soegijapranata Catholic University, Semarang, Indonesia

7. Department of Electrical Engineering, Yuan Ze University, Chung-Li, Taoyuan City, Taiwan

8. School of Electronics Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India

9. Department of Digital Media Design, Asia University, Taichung, Taiwan

Funder

National Science and Technology Council, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10147819.pdf?arnumber=10147819

Reference57 articles.

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4. Deep Learning: An Update for Radiologists

5. MRI field strength predicts Alzheimer’s disease: A case example of bias in the ADNI data set;thibeau-sutre;Proc IEEE 19th Int Symp Biomed Imag (ISBI),2022

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