Name
Title | ||
|---|---|---|
Scoring Primary Sjögren's syndrome affected salivary glands ultrasonography images by using deep learning algorithms |
Abstract | ||
|---|---|---|
Salivary gland ultrasonography (SGUS) represents a promising tool for diagnosing Primary Sjögren's syndrome (pSS), which is manifest with abnormalities in salivary glands (SG). In this study, we propose a fully automatic method for scoring SGs in SGUS images, which is the most important step towards SG the pSS diagnosis. A two-centric cohort included 600 images (150 patients) annotated by experien... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/BIBE52308.2021.9635506 | 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) |
Keywords | DocType | ISSN |
Deep learning,ultrasonography,salivary glands,Sjögren's syndrome,scoring | Conference | 2471-7819 |
ISBN | Citations | PageRank |
978-1-6654-4261-9 | 0 | 0.34 |
References | Authors | |
0 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vukicevic M. Arso | 1 | 0 | 0.34 |
| Zabotti Alen | 2 | 0 | 0.34 |
| Milic Vera | 3 | 0 | 0.34 |
| Hocevar Alojzija | 4 | 0 | 0.34 |
| De Lucia Orazio | 5 | 0 | 0.34 |
| Filippou Georgios | 6 | 0 | 0.34 |
| Athanasios Tzioufas | 7 | 0 | 0.34 |
| De Vita Salvatore | 8 | 0 | 0.34 |
| Filipovic Nenad | 9 | 0 | 0.34 |