Artificial neural networks improve LDCT lung cancer screening: a comparative validation study

BACKGROUND: This study proposes a prediction model for the automatic assessment of lung cancer risk based on an artificial neural network (ANN) with a data-driven approach to the low-dose computed tomography (LDCT) standardized structure report. METHODS: This comparative validation study analysed a...

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Detalles Bibliográficos
Autores principales: Hsu, Yin-Chen, Tsai, Yuan-Hsiung, Weng, Hsu-Huei, Hsu, Li-Sheng, Tsai, Ying-Huang, Lin, Yu-Ching, Hung, Ming-Szu, Fang, Yu-Hung, Chen, Chien-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579928/
https://www.ncbi.nlm.nih.gov/pubmed/33092589
http://dx.doi.org/10.1186/s12885-020-07465-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579928/
https://www.ncbi.nlm.nih.gov/pubmed/33092589
http://dx.doi.org/10.1186/s12885-020-07465-1

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