Name
Title | ||
|---|---|---|
Non-invasive detection of diabetic complications via pattern analysis of temporal facial colour variations. |
Abstract | ||
|---|---|---|
•A non-invasive detection framework for patients with diabetic complications.•Automatic examination of rubeosis faciei in a room with a non-controlled lighting conditions.•Image processing and pattern recognition techniques to analyse short video recordings.•Evaluation on 174 video files with 92.86% accuracy, 100% sensitivity, and 80% specificity. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cmpb.2020.105619 | Computer Methods and Programs in Biomedicine |
Keywords | DocType | Volume |
Pattern recognition,Machine learning,Skin patch analysis,Feature extraction,Skin redness | Journal | 196 |
ISSN | Citations | PageRank |
0169-2607 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomáš Majtner | 1 | 0 | 0.34 |
| Esmaeil S. Nadimi | 2 | 9 | 5.90 |
| Knud B Yderstræde | 3 | 0 | 0.34 |
| Victoria Blanes-Vidal | 4 | 6 | 3.46 |