Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis

BACKGROUND: Efforts should be made to develop a deep-learning diagnosis system to distinguish pancreatic cancer from benign tissue due to the high morbidity of pancreatic cancer. AIM: To identify pancreatic cancer in computed tomography (CT) images automatically by constructing a convolutional neura...

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Detalles Bibliográficos
Autores principales: Ma, Han, Liu, Zhong-Xin, Zhang, Jing-Jing, Wu, Feng-Tian, Xu, Cheng-Fu, Shen, Zhe, Yu, Chao-Hui, Li, You-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2020
Materias:
Retrospective Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495037/
https://www.ncbi.nlm.nih.gov/pubmed/32982116
http://dx.doi.org/10.3748/wjg.v26.i34.5156

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495037/
https://www.ncbi.nlm.nih.gov/pubmed/32982116
http://dx.doi.org/10.3748/wjg.v26.i34.5156

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