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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...
Autores principales: | Ma, Han, Liu, Zhong-Xin, Zhang, Jing-Jing, Wu, Feng-Tian, Xu, Cheng-Fu, Shen, Zhe, Yu, Chao-Hui, Li, You-Ming |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2020
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Materias: | |
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 |
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