Deep learning detection of informative features in tau PET for Alzheimer’s disease classification

被引:0
|
作者
Taeho Jo
Kwangsik Nho
Shannon L. Risacher
Andrew J. Saykin
机构
[1] Indiana University School of Medicine,Department of Radiology and Imaging Sciences, Center for Neuroimaging
[2] Indiana University School of Medicine,Indiana Alzheimer’s Disease Research Center
[3] Indiana University Network Science Institute,undefined
来源
BMC Bioinformatics | / 21卷
关键词
Alzheimer’s disease; Tau PET; Deep learning;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Deep learning detection of informative features in tau PET for Alzheimer's disease classification
    Jo, Taeho
    Nho, Kwangsik
    Risacher, Shannon L.
    Saykin, Andrew J.
    BMC BIOINFORMATICS, 2020, 21 (Suppl 21)
  • [2] Deep learning improves utility of tau PET in the study of Alzheimer's disease
    Zou, James
    Park, David
    Johnson, Aubrey
    Feng, Xinyang
    Pardo, Michelle
    France, Jeanelle
    Tomljanovic, Zeljko
    Brickman, Adam M.
    Devanand, Devangere P.
    Luchsinger, Jose A.
    Kreisl, William C.
    Provenzano, Frank A.
    ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING, 2021, 13 (01)
  • [3] Deep Learning for Alzheimer's Disease Classification using Texture Features
    So, Jae-Hong
    Madusanka, Nuwan
    Choi, Heung-Kook
    Choi, Boo-Kyeong
    Park, Hyeon-Gyun
    CURRENT MEDICAL IMAGING, 2019, 15 (07) : 689 - 698
  • [4] Functional Brain Network Classification for Alzheimer's Disease Detection with Deep Features and Extreme Learning Machine
    Bi, Xin
    Zhao, Xiangguo
    Huang, Hong
    Chen, Deyang
    Ma, Yuliang
    COGNITIVE COMPUTATION, 2020, 12 (03) : 513 - 527
  • [5] Functional Brain Network Classification for Alzheimer’s Disease Detection with Deep Features and Extreme Learning Machine
    Xin Bi
    Xiangguo Zhao
    Hong Huang
    Deyang Chen
    Yuliang Ma
    Cognitive Computation, 2020, 12 : 513 - 527
  • [6] A Deep Learning Approach for Automated Detection and Classification of Alzheimer's Disease
    Oommen, Deepthi K.
    Arunnehru, J.
    ADVANCES IN COMPUTING AND DATA SCIENCES (ICACDS 2022), PT II, 2022, 1614 : 138 - 149
  • [7] Deep Learning of Texture and Structural Features for Multiclass Alzheimer's Disease Classification
    Dolph, C. V.
    Alam, M.
    Shboul, Z.
    Samad, M. D.
    Iftekharuddin, K. M.
    2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2017, : 2259 - 2266
  • [8] Alzheimer's Disease Classification by Combining Tau PET Imaging and Genomics
    Yang, Fan
    Song, TzuAn
    Dutta, Joyita
    JOURNAL OF NUCLEAR MEDICINE, 2021, 62
  • [9] Classification and analysis of Alzheimer's Disease using Deep Learning methods on MRI and PET
    Antony, Febin
    Anita, H. B.
    2022 5TH INTERNATIONAL CONFERENCE ON MULTIMEDIA, SIGNAL PROCESSING AND COMMUNICATION TECHNOLOGIES (IMPACT), 2022,
  • [10] Deep ensemble learning for Alzheimer's disease classification
    An, Ning
    Ding, Huitong
    Yang, Jiaoyun
    Au, Rhoda
    Ang, Ting F. A.
    JOURNAL OF BIOMEDICAL INFORMATICS, 2020, 105