Advanced search
Publication Cover
Cancer Management and Research Volume 11, 2019 - Issue
Submit an article Journal homepage
129
Views
27
CrossRef citations to date
0
Altmetric
Original Research

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

Wenli Qiu1 Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
,
Na Duan1 Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
,
Xiao Chen1 Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
,
Shuai Ren1 Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
,
Yifen Zhang2 Department of Pathology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China
,
Zhongqiu Wang1 Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People’s Republic of ChinaCorrespondence[email protected]
&
Rong Chen3 Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
 show all
Pages 9253-9264 | Published online: 30 Oct 2019

Reprints and Permissions

Permission is granted subject to the terms of the License under which the work was published. Permission will be required if your reuse is not covered by the terms of the License.

To request a reprint or commercial or derivative permissions for this article, please click on the relevant link below.

Order Reprints Request Permissions

For more information please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.