Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer’s Disease

for the Alzheimer’s Disease Neuroimaging Initiative

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Computer-aided diagnosis (CAD) systems for medical images are seen as effective tools to improve the efficiency of diagnosis and prognosis of Alzheimer’s disease (AD). The current state-of-the-art models for many images analyzing tasks are based on Convolutional Neural Networks (CNN). However, the lack of training data is a common challenge in applying CNN to the diagnosis of AD and its prodromal stages. Another challenge for CAD applications is the controversy between the requiring of longitudinal cortical structural information for higher diagnosis/prognosis accuracy and the computing ability for processing varied imaging features. To address these two challenges, we propose a novel computer-aided AD diagnosis system CNN-Stochastic Coordinate Coding (MSCC) which integrates CNN with transfer learning strategy, a novel MSCC algorithm and our effective AD-related biomarkers–multivariate morphometry statistics (MMS). We applied the novel CNN-MSCC system on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset to predict future cognitive clinical measures with baseline Hippocampal/Ventricle MMS features and cortical thickness. The experimental results showed that CNN-MSCC achieved superior results. The proposed system may aid in expediting the diagnosis of AD progress, facilitating earlier clinical intervention, and resulting in improved clinical outcomes.

Original languageEnglish (US)
Title of host publicationHuman Brain and Artificial Intelligence - 1st International Workshop, HBAI 2019, held in Conjunction with IJCAI 2019, Revised Selected Papers
EditorsAn Zeng, Dan Pan, Tianyong Hao, Daoqiang Zhang, Yiyu Shi, Xiaowei Song
PublisherSpringer
Pages21-35
Number of pages15
ISBN (Print)9789811513978
DOIs
StatePublished - 2019
Event1st International Workshop on Human Brain and Artificial Intelligence, HBAI 2019, held in conjunction with the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019 - Macao, China
Duration: Aug 12 2019Aug 12 2019

Publication series

NameCommunications in Computer and Information Science
Volume1072
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference1st International Workshop on Human Brain and Artificial Intelligence, HBAI 2019, held in conjunction with the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
CountryChina
CityMacao
Period8/12/198/12/19

Keywords

  • Alzheimer’s Disease
  • Computer-aided diagnosis
  • Convolutional Neural Networks (CNN)
  • Multi-task dictionary learning
  • Transfer learning

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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