Multi-phase feature representation learning for neurodegenerative disease diagnosis

Siqi Liu, Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, David Dagan Feng

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

9 Citations (Scopus)

Abstract

Feature learning with high dimensional neuroimaging features has been explored for the applications on neurodegenerative diseases. Low-dimensional biomarkers, such as mental status test scores and cerebrospinal fluid level, are essential in clinical diagnosis of neurological disorders, because they could be simple and effective for the clinicians to assess the disorder’s progression and severity. Rather than only using the low-dimensional biomarkers as inputs for decision making systems, we believe that such low-dimensional biomarkers can be used for enhancing the feature learning pipeline. In this study, we proposed a novel feature representation learning framework, Multi-Phase Feature Representation (MPFR), with low-dimensional biomarkers embedded. MPFR learns high-level neuroimaging features by extracting the associations between the low-dimensional biomarkers and the highdimensional neuroimaging features with a deep neural network. We validated the proposed framework using the Mini-Mental-State-Examination (MMSE) scores as a low-dimensional biomarker and multi-modal neuroimaging data as the high-dimensional neuroimaging features from the ADNI baseline cohort. The proposed approach outperformed the original neural network in both binary and ternary Alzheimer’s disease classification tasks.

Original languageEnglish
Title of host publicationArtificial Life and Computational Intelligence
Subtitle of host publicationFirst Australasian Conference, ACALCI 2015, Proceedings
EditorsStephan K. Chalup, Alan D. Blair, Marcus Randall
Place of PublicationCham
PublisherSpringer-VDI-Verlag GmbH & Co. KG
Pages350-359
Number of pages10
ISBN (Electronic)9783319148038
ISBN (Print)9783319148021
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event1st Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2015 - Newcastle, Australia
Duration: 5 Feb 20157 Feb 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8955
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2015
CountryAustralia
CityNewcastle
Period5/02/157/02/15

Keywords

  • Classification
  • Deep learning
  • Neuroimaging

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