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

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

Abstract 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 convolution...

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Bibliographic Details
Main Authors: Keisuke Kawauchi, Sho Furuya, Kenji Hirata, Chietsugu Katoh, Osamu Manabe, Kentaro Kobayashi, Shiro Watanabe, Tohru Shiga
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Cancer
Subjects:
FDG
PET
Convolutional neural network
Deep learning
Online Access:http://link.springer.com/article/10.1186/s12885-020-6694-x

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http://link.springer.com/article/10.1186/s12885-020-6694-x

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