Name
Abstract | ||
|---|---|---|
Diabetic Retinopathy (DR) is a common complication of diabetes that may lead to blindness if not treated. However, since DR evolves without any symptoms in the initial stages, early detection and treatment can only be achieved through routine checks. This article presents the collaborative platform of the SCREEN-DR project that promotes partnership between physicians and researchers in the scope of a regional DR screening program. The role of researchers is to create classification algorithms to evaluate image quality, discard non-pathological cases, locate possible lesions and grade DR severity. Physicians are responsible for annotating datasets, including the visual delineation of lesions. The collaborative platform collects the studies, indexes the images metadata, and manages the creation of datasets and the respective annotation process. An advanced searching mechanism supports multimodal queries over annotated datasets and exporting of results for feeding artificial intelligence algorithms. |
Year | Venue | Keywords |
|---|---|---|
2018 | MIE | Computer-Aided Diagnosis,Diabetic Retinopathy,Image Annotation |
Field | DocType | Volume |
Diabetic retinopathy,Knowledge management,Software,Medical physics,Software architecture,Medicine,Diabetic retinopathy screening | Conference | 247 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Micael Pedrosa | 1 | 0 | 0.34 |
| Jorge Miguel Silva | 2 | 8 | 2.23 |
| Sérgio Matos | 3 | 415 | 29.51 |
| Carlos Costa | 4 | 301 | 44.04 |