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BIBTEX RIS

A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18 F-FDG PET of the Brain

2018; Radiological Society of North America; Volume: 290; Issue: 2 Linguagem: Inglês

10.1148/radiol.2018180958

ISSN

1527-1315

Autores

Yiming Ding, Jae Ho Sohn, Michael Kawczynski, Hari Trivedi, Roy Harnish, Nathaniel W. Jenkins, Dmytro Lituiev, Timothy P. Copeland, Mariam Aboian, Carina Marí Aparici, Spencer C. Behr, Robert R. Flavell, Shih-Ying Huang, Kelly A. Zalocusky, Lorenzo Nardo, Youngho Seo, Randall A. Hawkins, Miguel Hernandez Pampaloni, Dexter Hadley, Benjamin L. Franc,

Tópico(s)

Medical Image Segmentation Techniques

Resumo

Purpose To develop and validate a deep learning algorithm that predicts the final diagnosis of Alzheimer disease (AD), mild cognitive impairment, or neither at fluorine 18 (

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