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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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Materias: | |
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 |
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