Predicting aggressive histopathological features in esophageal cancer with positron emission tomography using a deep convolutional neural network

BACKGROUND: The presence of lymphovascular invasion (LVI) and perineural invasion (PNI) are of great prognostic importance in esophageal squamous cell carcinoma. Currently, positron emission tomography (PET) scans are the only means of functional assessment prior to treatment. We aimed to predict th...

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Detalles Bibliográficos
Autores principales: Yeh, Joe Chao-Yuan, Yu, Wei-Hsiang, Yang, Cheng-Kun, Chien, Ling-I, Lin, Ko-Han, Huang, Wen-Sheng, Hsu, Po-Kuei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859760/
https://www.ncbi.nlm.nih.gov/pubmed/33553330
http://dx.doi.org/10.21037/atm-20-1419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859760/
https://www.ncbi.nlm.nih.gov/pubmed/33553330
http://dx.doi.org/10.21037/atm-20-1419

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