Assessment of Machine Learning Algorithms for the Purpose of Primary Sjögren's Syndrome Grade Classification from Segmented Ultrasonography Images

Arso M. Vukicevic, Alen Zabotti, Salvatore de Vita, Nenad Filipovic. Assessment of Machine Learning Algorithms for the Purpose of Primary Sjögren's Syndrome Grade Classification from Segmented Ultrasonography Images. In Octavian Fratu, Nicolae Militaru, Simona Halunga, editors, Future Access Enablers for Ubiquitous and Intelligent Infrastructures - Third International Conference, FABULOUS 2017, Bucharest, Romania, October 12-14, 2017, Proceedings. Volume 241 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 239-245, Springer, 2017. [doi]