Pancreatic Ductal Adenocarcinoma: Machine Learning–Based Quantitative Computed Tomography Texture Analysis For Prediction Of Histopathological Grade

PURPOSE: To assess the performance of combining computed tomography (CT) texture analysis with machine learning for discriminating different histopathological grades of pancreatic ductal adenocarcinoma (PDAC). METHODS: From July 2012 to August 2017, this retrospective study comprised 56 patients wit...

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Detalles Bibliográficos
Autores principales: Qiu, Wenli, Duan, Na, Chen, Xiao, Ren, Shuai, Zhang, Yifen, Wang, Zhongqiu, Chen, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6826202/
https://www.ncbi.nlm.nih.gov/pubmed/31802945
http://dx.doi.org/10.2147/CMAR.S218414

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6826202/
https://www.ncbi.nlm.nih.gov/pubmed/31802945
http://dx.doi.org/10.2147/CMAR.S218414

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