Automated Detection of Pancreatic Cystic Lesions on CT Using Deep Learning

Automated Detection of Pancreatic Cystic Lesions on CT Using Deep Learning

Pancreatic cystic lesions (PCL) are a frequent and underreported incidental finding on CT scans and can transform into neoplasms with devastating consequences. We developed and evaluated an algorithm based on a two-step nnU-Net architecture for automated detection of PCL on CTs. A total of 543 cysts...

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Bibliographic Details
Main Authors: Lorraine Abel, Jakob Wasserthal, Thomas Weikert, Alexander W. Sauter, Ivan Nesic, Marko Obradovic, Shan Yang, Sebastian Manneck, Carl Glessgen, Johanna M. Ospel, Bram Stieltjes, Daniel T. Boll, Björn Friebe
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Diagnostics
Subjects:
pancreatic cystic lesion
intraductal papillary mucinous neoplasia
tomography
X-ray computed
detection
artificial intelligence
Online Access:https://www.mdpi.com/2075-4418/11/5/901

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