Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study

PURPOSE: Artificial neural networks (ANN) might help to diagnose coronary artery disease. This study aimed to determine whether the diagnostic accuracy of an ANN-based diagnostic system and conventional quantitation are comparable. METHODS: The ANN was trained to classify potentially abnormal areas...

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Detalles Bibliográficos
Autores principales: Nakajima, Kenichi, Kudo, Takashi, Nakata, Tomoaki, Kiso, Keisuke, Kasai, Tokuo, Taniguchi, Yasuyo, Matsuo, Shinro, Momose, Mitsuru, Nakagawa, Masayasu, Sarai, Masayoshi, Hida, Satoshi, Tanaka, Hirokazu, Yokoyama, Kunihiko, Okuda, Koichi, Edenbrandt, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680364/
https://www.ncbi.nlm.nih.gov/pubmed/28948350
http://dx.doi.org/10.1007/s00259-017-3834-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680364/
https://www.ncbi.nlm.nih.gov/pubmed/28948350
http://dx.doi.org/10.1007/s00259-017-3834-x

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