Real-World Testing of a Machine Learning-Derived Visual Scale for Tc99m TRODAT-1 for Diagnosing Lewy Body Disease: Comparison with a Traditional Approach Using Semiquantification.

Chiu, Pai-Yi; Hou, Po-Nien; Hung, Guang-Uei; Hsieh, Te-Chun; Chan, Pak-Ki; Kao, Chia-Hung

Chiu, Pai-Yi; Hou, Po-Nien; Hung, Guang-Uei; Hsieh, Te-Chun; Chan, Pak-Ki; Kao, Chia-Hung.

Afiliación

Chiu PY; Department of Neurology, Show Chwan Memorial Hospital, Changhua 50008, Taiwan.
Hou PN; Department of Applied Mathematics, Tunghai University, Taichung 40704, Taiwan.
Hung GU; Department of Nuclear Medicine, Chang Bing Show Chwan Memorial Hospital, Changhua 50544, Taiwan.
Hsieh TC; Department of Nuclear Medicine, Chang Bing Show Chwan Memorial Hospital, Changhua 50544, Taiwan.
Chan PK; Department of Nuclear Medicine and PET Center, China Medical University Hospital, Taichung 40402, Taiwan.
Kao CH; Department of Biomedical Imaging and Radiological Science, Elite Campus, China Medical University, Taichung 40402, Taiwan.

J Pers Med ; 12(9)2022 Aug 25.

Article en En | MEDLINE | ID: mdl-36143154

Palabras clave

Alzheimer's disease; Lewy body disease; Parkinson's disease; Tc99m TRODAT-1; dementia with Lewy bodies; machine learning

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Pers Med Año: 2022 Tipo del documento: Article País de afiliación: Taiwán

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