Computed tomography-based prediction of pancreatitis following biliary metal stent placement with the convolutional neural network

Computed tomography-based prediction of pancreatitis following biliary metal stent placement with the convolutional neural network

Introduction: Pancreatitis is a potentially lethal adverse event of endoscopic transpapillary placement of a self-expandable metal stent (SEMS) for malignant biliary obstruction (MBO). Deep learning-based image recognition has not been investigated in predicting pancreatitis in this setting. Method...

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Bibliographic Details
Main Authors: Tsuyoshi Hamada, Koichiro Yasaka, Yousuke Nakai, Rintaro Fukuda, Ryunosuke Hakuta, Kazunaga Ishigaki, Sachiko Kanai, Kensaku Noguchi, Hiroki Oyama, Tomotaka Saito, Tatsuya Sato, Tatsunori Suzuki, Naminatsu Takahara, Hiroyuki Isayama, Osamu Abe, Mitsuhiro Fujishiro
Format: Article
Language:English
Published: Georg Thieme Verlag KG
Series:Endoscopy International Open
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/a-2298-0147

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http://www.thieme-connect.de/DOI/DOI?10.1055/a-2298-0147

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