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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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Main Authors: | , , , , , , , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
BMC
2020-03-01
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Colecção: | BMC Cancer |
Assuntos: | |
Acesso em linha: | http://link.springer.com/article/10.1186/s12885-020-6694-x |
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