articleNeuroImageDec 16, 2019HYBRID OA

A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer’s disease

MLManhua LiuFLFan LiHYHao YanKWKundong WangYMYixin Ma

Shanghai Jiao Tong University · Beijing Academy of Artificial Intelligence · +2 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

Alzheimer's disease (AD) is a progressive and irreversible brain degenerative disorder. Mild cognitive impairment (MCI) is a clinical precursor of AD. Although some treatments can delay its progression, no effective cures are available for AD. Accurate early-stage diagnosis of AD is vital for the prevention and intervention of the disease progression. Hippocampus is one of the first affected brain regions in AD. To help AD diagnosis, the shape and volume of the hippocampus are often measured using structural magnetic resonance imaging (MRI). However, these features encode limited information and may suffer from segmentation errors. Additionally, the extraction of these features is independent of the…

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Topics & keywords

Topics
Keywords
  • Convolutional neural network
  • Hippocampus
  • Artificial intelligence
  • Computer science
  • Segmentation
  • Neuroscience
  • Pattern recognition (psychology)
  • Artificial neural network
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