Automated classification of polyps using deep learning architectures and few-shot learning

Automated classification of polyps using deep learning architectures and few-shot learning

Abstract Background Colorectal cancer is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is a colonoscopy. However, not all colon polyps have the risk of becoming cancerous. Therefore, polyps are classified using different classification systems. After the classifi...

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Bibliographic Details
Main Authors: Adrian Krenzer, Stefan Heil, Daniel Fitting, Safa Matti, Wolfram G. Zoller, Alexander Hann, Frank Puppe
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Medical Imaging
Subjects:
Machine learning
Deep learning
Endoscopy
Gastroenterology
Automation
Image classification
Online Access:https://doi.org/10.1186/s12880-023-01007-4

Internet

https://doi.org/10.1186/s12880-023-01007-4

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