Machine and Deep Learning Approaches Applied to Classify Gougerot–Sjögren Syndrome and Jointly Segment Salivary Glands

Machine and Deep Learning Approaches Applied to Classify Gougerot–Sjögren Syndrome and Jointly Segment Salivary Glands

To diagnose Gougerot–Sjögren syndrome (GSS), ultrasound imaging (US) is a promising tool for helping physicians and experts. Our project focuses on the automatic detection of the presence of GSS using US. Ultrasound imaging suffers from a weak signal-to-noise ratio. Therefore, any classification or...

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Bibliographic Details
Main Authors: Aurélien Olivier, Clément Hoffmann, Sandrine Jousse-Joulin, Ali Mansour, Luc Bressollette, Benoit Clement
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Bioengineering
Subjects:
machine learning
deep learning
texture analysis
radiomics
classification
multi-supervision
Online Access:https://www.mdpi.com/2306-5354/10/11/1283

Internet

https://www.mdpi.com/2306-5354/10/11/1283

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