Deep Convolutional Neural Network-Based Positron Emission Tomography Analysis Predicts Esophageal Cancer Outcome

In esophageal cancer, few prediction tools can be confidently used in current clinical practice. We developed a deep convolutional neural network (CNN) with 798 positron emission tomography (PET) scans of esophageal squamous cell carcinoma and 309 PET scans of stage I lung cancer. In the first stage...

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Detalles Bibliográficos
Autores principales: Yang, Cheng-Kun, Yeh, Joe Chao-Yuan, Yu, Wei-Hsiang, Chien, Ling-I., Lin, Ko-Han, Huang, Wen-Sheng, Hsu, Po-Kuei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616908/
https://www.ncbi.nlm.nih.gov/pubmed/31200519
http://dx.doi.org/10.3390/jcm8060844

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616908/
https://www.ncbi.nlm.nih.gov/pubmed/31200519
http://dx.doi.org/10.3390/jcm8060844

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