Automatic Pancreatic Cyst Lesion Segmentation on EUS Images Using a Deep-Learning Approach

Automatic Pancreatic Cyst Lesion Segmentation on EUS Images Using a Deep-Learning Approach

The automatic segmentation of the pancreatic cyst lesion (PCL) is essential for the automated diagnosis of pancreatic cyst lesions on endoscopic ultrasonography (EUS) images. In this study, we proposed a deep-learning approach for PCL segmentation on EUS images. We employed the Attention U-Net model...

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Bibliographic Details
Main Authors: Seok Oh, Young-Jae Kim, Young-Taek Park, Kwang-Gi Kim
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
pancreatic cyst lesion
segmentation
computer-aided diagnosis
deep learning
endoscopic ultrasonography
Online Access:https://www.mdpi.com/1424-8220/22/1/245

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