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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Detalles Bibliográficos
Autores principales: Kawauchi, Keisuke, Furuya, Sho, Hirata, Kenji, Katoh, Chietsugu, Manabe, Osamu, Kobayashi, Kentaro, Watanabe, Shiro, Shiga, Tohru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077155/
https://www.ncbi.nlm.nih.gov/pubmed/32183748
http://dx.doi.org/10.1186/s12885-020-6694-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077155/
https://www.ncbi.nlm.nih.gov/pubmed/32183748
http://dx.doi.org/10.1186/s12885-020-6694-x

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