Live Demonstration: Efficient Deep Learning Algorithm for Alzheimer's Disease Diagnosis using Retinal Images

被引：0
|
作者：
Kim, Do Young [1 ]
Lim, Young Jun [1 ]
Park, Joon Hyeon [1 ]
Sunwoo, Myung Hoon [1 ]
机构：
[1] Ajou Univ, Dept Elect & Comp Engn, Suwon 16499, South Korea
来源：
2022 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE CIRCUITS AND SYSTEMS (AICAS 2022): INTELLIGENT TECHNOLOGY IN THE POST-PANDEMIC ERA | 2022年
关键词：
Deep Learning; Algorithm; Alzheimer's Disease; Diagnosis; Edge Devices; Neural Network;
D O I：
10.1109/AICAS54282.2022.9869957
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This live demonstration presents Alzheimer's Disease (AD) detection using deep learning based smartphone application. The deep learning model is based on MobileNetV3 as a backbone, and an Attention mechanism is applied. However, we modified the backbone structure into U-Net-like architecture to perform better. Furthermore, we modified the conventional Attention mechanism to the Weighted Attention mechanism. The masking-adding process has been applied in the training method of the model.
引用
收藏
页码：507 / 507
页数：1
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