Assessment of Machine Learning Algorithms for the Purpose of Primary Sjögren's Syndrome Grade Classification from Segmented Ultrasonography Images
Assessment of Machine Learning Algorithms for the Purpose of Primary Sjögren's Syndrome Grade Classification from Segmented Ultrasonography Images
A. Vukicevic,A. Zabotti,S. Vita,N. Filipovic
2017 · DOI: 10.1007/978-3-319-92213-3_35
International Conference on Future Access Enablers for Ubiquitous and Intelligent Infrastructures · 6 Citações
TLDR
The preliminary results on the growing HarmonicSS cohort showed that Naive bayes and Multilayer perceptron are the most suitable for the purpose of pSS grade classification.