TY - GEN
T1 - Comparative Assessment among Different Convolutional Neural Network Architectures for Alzheimer's Disease Detection
AU - Sharma, Gargi
AU - Vijayvargiya, Ankit
AU - Kumar, Rajesh
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Alzheimer's Disease(AD) is a type of Dementia affecting the brain cells. An intense amount of research has been done on the subject of Alzheimer's Disease Detection and even now huge amounts of research are going on towards this subject. Over time different deep learning models have been implemented including various transfer learning models. In this work a comprehensive analysis of eight transfer learning models has been done to classify AD in 4 classes; Non-Demented, Very Mild-Demented, Mild-Demented and Moderate Demented. The transfer learning models implemented here are: DenseNet-169, Inception ResNet-V2, MobileNet-V2, ResNet-101, Inception-V3, ResNet-50, VGG-16, VGG-19. The transfer learning model with the highest scores gave an accuracy of 98.0%and precision of 98.01%, which is a good score for medical imaging problems.
AB - Alzheimer's Disease(AD) is a type of Dementia affecting the brain cells. An intense amount of research has been done on the subject of Alzheimer's Disease Detection and even now huge amounts of research are going on towards this subject. Over time different deep learning models have been implemented including various transfer learning models. In this work a comprehensive analysis of eight transfer learning models has been done to classify AD in 4 classes; Non-Demented, Very Mild-Demented, Mild-Demented and Moderate Demented. The transfer learning models implemented here are: DenseNet-169, Inception ResNet-V2, MobileNet-V2, ResNet-101, Inception-V3, ResNet-50, VGG-16, VGG-19. The transfer learning model with the highest scores gave an accuracy of 98.0%and precision of 98.01%, which is a good score for medical imaging problems.
KW - Alzheimer's Disease
KW - Brain MRI
KW - Convolutional Neural Network
KW - Deep Learning
KW - multi-class
KW - Transfer Learning
UR - http://www.scopus.com/inward/record.url?scp=85125093567&partnerID=8YFLogxK
U2 - 10.1109/UPCON52273.2021.9667607
DO - 10.1109/UPCON52273.2021.9667607
M3 - Conference contribution
AN - SCOPUS:85125093567
T3 - 2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2021
BT - 2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2021
Y2 - 11 November 2021 through 13 November 2021
ER -