Enhanced diagnostic accuracy for quantitative bone scan using an artificial neural network system: a Japanese multi-center database project

BACKGROUND: Artificial neural network (ANN)-based bone scan index (BSI), a marker of the amount of bone metastasis, has been shown to enhance diagnostic accuracy and reproducibility but is potentially affected by training databases. The aims of this study were to revise the software using a large nu...

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Detalles Bibliográficos
Autores principales: Nakajima, Kenichi, Nakajima, Yasuo, Horikoshi, Hiroyuki, Ueno, Munehisa, Wakabayashi, Hiroshi, Shiga, Tohru, Yoshimura, Mana, Ohtake, Eiji, Sugawara, Yoshifumi, Matsuyama, Hideyasu, Edenbrandt, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2013
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877947/
https://www.ncbi.nlm.nih.gov/pubmed/24369784
http://dx.doi.org/10.1186/2191-219X-3-83

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877947/
https://www.ncbi.nlm.nih.gov/pubmed/24369784
http://dx.doi.org/10.1186/2191-219X-3-83

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