Name
Abstract | ||
|---|---|---|
Analysis of the photographs of the fundus of the eye is a significant diagnostic method used in many medical specialisations. Visible retinal vessels are the only ones in the human body which may be seen with the naked eye. Their condition is the reflection of the health status of various organs and systems. In spite of the appearance of more advanced eye diagnostic methods, the analysis of retinal vessels based on photographs is still being developed. The authors propose increasing of the diagnostic sensitivity through digital filtration of the photographs with the use of a nonlinear order-statistic filter. The obtained results have explicitly indicated a significant increase in readability of the processed images in comparison to the original ones. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-14132-5_24 | ACIIDS |
Field | DocType | Citations |
Computer vision,Computer science,Fundus (eye),Image processing,Artificial intelligence,Retinal,Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Janusz Pawel Kowalski | 1 | 1 | 3.48 |
| Grzegorz Galant | 2 | 0 | 0.34 |
| Jakub Peksiński | 3 | 5 | 5.58 |
| Grzegorz Mikołajczak | 4 | 5 | 5.58 |