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Assessment of Machine Learning Algorithms for the Purpose of Primary Sjögren’s Syndrome Grade Classification from Segmented Ultrasonography Images
| Title: | Assessment of Machine Learning Algorithms for the Purpose of Primary Sjögren’s Syndrome Grade Classification from Segmented Ultrasonography Images | Authors: | Vukićević, Arso   ; Zabotti, Alen; de, Vita Salvatore; Filipovic, Nenad |
Issue Date: | 2018 | Publication: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering | ISSN: | 1867-8211  Search Idenfier |
Type: | Conference Paper | Collation: | str. 239-245 | DOI: | 10.1007/978-3-319-92213-3_35 | WoS-ID: | 000481658200035 | Scopus-ID: | 2-s2.0-85049774526 | URI: | https://enauka.gov.rs/handle/123456789/414962 | Metadata source: | Migrirano iz RIS podataka | M-category: | Mp. category will be shown later |
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