Article

Alzheimer's Disease Classification Confidence of Individuals using Deep Learning on Heterogeneous Data

2024-08-03

Abstract excerpt

Making accurate diagnosis of Alzheimer's disease (AD) is crucial for effective treatment and management. Although deep learning has been applied to AD classification, it is typically performed at group level, the data used are not sufficiently heterogeneous and comprehensive, and decision confidence is not evaluated at individual (single patient) level. This paper proposed a more practical deep learning approach t...

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Literature Corpus work: 6d5027c3-a379-5ec8-b9d7-3ac694672e9b
DOI: 10.1101/2024.08.02.24311397

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