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Cross-cohort dementia identification using transfer learning with FDG-PET imaging

  • Shen Lu
  • , Yong Xia
  • , Weidong Cai
  • , David Dagan Feng
  • , Michael Fulham
  • The University of Sydney
  • Royal Prince Alfred Hospital

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用 (Scopus)

摘要

Machine learning has recently been applied to the identification of dementia syndromes. Accurately labeled PET brain scans used to train machine learning models, however, are difficult to obtain in the clinical environment. Hence we propose a dementia classification method using transfer learning. The main focus of our research is to train a machine learning model using an accurately labeled source image cohort and an unlabeled target image cohort jointly, and then use this model to label the unlabeled target cohort. We show the effectiveness of this knowledge transfer approach by comparing the proposed method to several other methods on public and private image cohorts.

源语言英语
主期刊名2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
出版商IEEE Computer Society
页1550-1554
页数5
ISBN(电子版)9781538636367
DOI
出版状态已出版 - 23 5月 2018
活动15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, 美国
期限: 4 4月 2018 → 7 4月 2018

丛书

姓名Proceedings - International Symposium on Biomedical Imaging
卷2018-April
ISSN(印刷版)1945-7928
ISSN(电子版)1945-8452

会议

会议15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
国家/地区美国
市Washington
时期4/04/18 → 7/04/18

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