Name
Abstract | ||
|---|---|---|
•Nasal cytology is a common diagnostic procedure in clinical practice.•Informatics may fruitfully improve the value of nasal cytology, mainly concnerning precision, and data archiving.•Rhino-cyt may be a useful way to manage nasal cytology in daily medicine. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ijmedinf.2018.11.010 | International Journal of Medical Informatics |
Keywords | Field | DocType |
Nasal cytology,Automatic cell recognition,Rhinology,Image analysis | Data mining,Pattern recognition,Convolutional neural network,Image processing,Software system,Image segmentation,Digital image,Artificial intelligence,Deep learning,Digital microscope,Medicine,Test set | Journal |
Volume | ISSN | Citations |
122 | 1386-5056 | 0 |
PageRank | References | Authors |
0.34 | 10 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giovanni Dimauro | 1 | 190 | 24.09 |
| Giorgio Ciprandi | 2 | 0 | 0.68 |
| Francesca Deperte | 3 | 0 | 0.34 |
| Francesco Girardi | 4 | 6 | 2.70 |
| Enrico Ladisa | 5 | 0 | 0.34 |
| Sergio Latrofa | 6 | 0 | 0.34 |
| Matteo Gelardi | 7 | 1 | 0.70 |