A convolutional neural network-based system to classify patients using FDG PET/CT examinations

BACKGROUND: As the number of PET/CT scanners increases and FDG PET/CT becomes a common imaging modality for oncology, the demands for automated detection systems on artificial intelligence (AI) to prevent human oversight and misdiagnosis are rapidly growing. We aimed to develop a convolutional neura...

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Detalhes bibliográficos
Publicado no:BMC Cancer
Main Authors: Kawauchi, Keisuke, Furuya, Sho, Hirata, Kenji, Katoh, Chietsugu, Manabe, Osamu, Kobayashi, Kentaro, Watanabe, Shiro, Shiga, Tohru
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2020
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7077155/
https://ncbi.nlm.nih.gov/pubmed/32183748
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12885-020-6694-x
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