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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...
Autores principales: | Nakajima, Kenichi, Nakajima, Yasuo, Horikoshi, Hiroyuki, Ueno, Munehisa, Wakabayashi, Hiroshi, Shiga, Tohru, Yoshimura, Mana, Ohtake, Eiji, Sugawara, Yoshifumi, Matsuyama, Hideyasu, Edenbrandt, Lars |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer
2013
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Materias: | |
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 |
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