Deep-Learning-Enabled Computer-Aided Diagnosis in the Classification of Pancreatic Cystic Lesions on Confocal Laser Endomicroscopy

Deep-Learning-Enabled Computer-Aided Diagnosis in the Classification of Pancreatic Cystic Lesions on Confocal Laser Endomicroscopy

Accurate classification of pancreatic cystic lesions (PCLs) is important to facilitate proper treatment and to improve patient outcomes. We utilized the convolutional neural network (CNN) of VGG19 to develop a computer-aided diagnosis (CAD) system in the classification of subtypes of PCLs in endosco...

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Bibliographic Details
Main Authors: Tsung-Chun Lee, Clara Lavita Angelina, Pradermchai Kongkam, Hsiu-Po Wang, Rungsun Rerknimitr, Ming-Lun Han, Hsuan-Ting Chang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Diagnostics
Subjects:
deep learning
pancreatic cystic lesions
VGG19
U-Net
confocal laser endomicroscopy
computer-aided diagnosis
Online Access:https://www.mdpi.com/2075-4418/13/7/1289

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https://www.mdpi.com/2075-4418/13/7/1289

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