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

页码：507 / 507

页数：1

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