利用带有金字塔注意力网络的双 GAN 模型早期诊断阿尔茨海默病

IF 3.2 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Connection Science Pub Date : 2024-03-16 DOI:10.1080/09540091.2024.2321351

Yinjun Zhang, Linzhi Wang

引用次数: 0

摘要

阿尔茨海默病（AD）是一种损害患者认知功能的神经系统疾病。文章介绍了一种深度学习架构，该架构利用核磁共振成像的隐含图像来分类...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Early diagnosis of Alzheimer’s disease using dual GAN model with pyramid attention networks

Alzheimer's disease (AD) is a neurological condition that impairs the patient's cognitive function. The article presents a deep learning architecture using the implicit image from MRI to categories...

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来源期刊

Connection Science 工程技术-计算机：理论方法

CiteScore

6.50

自引率

39.60%

发文量

审稿时长

3 months

期刊介绍： Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.