Name
Title | ||
|---|---|---|
A fully automated cell segmentation and morphometric parameter system for quantifying corneal endothelial cell morphology. |
Abstract | ||
|---|---|---|
•A fully automated and real-time cell segmentation and morphometric parameter system for quantifying corneal endothelial cell morphology is developed, termed the Corneal Endothelium Analysis System (CEAS).•The CEAS system underpins the expertise of ophthalmologists.•It is able to accurately detect the boundaries of the endothelial cells for the early diagnosis of corneal pathology and determining the health status of corneas for transplantation (Keratoplasty).•A number of useful clinical features that can be used to save a useful amount of clinician time in the process.•A clinically helpful diagnostic system for busy clinic and patient care. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cmpb.2018.03.015 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Corneal endothelial cells,Automatic cell segmentation,Corneal Confocal Microscopy,Fast Fourier Transform,Watershed transformation,Voronoi Tessellation | Biomedical engineering,Computer vision,Corneal transplantation,Computer science,Endothelial stem cell,Corneal endothelium,Segmentation,Cornea,Image quality,Artificial intelligence,Confocal,Confocal microscopy | Journal |
Volume | ISSN | Citations |
160 | 0169-2607 | 0 |
PageRank | References | Authors |
0.34 | 12 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shumoos Al-Fahdawi | 1 | 19 | 3.09 |
| Rami Qahwaji | 2 | 120 | 21.05 |
| Alaa S. Al-Waisy | 3 | 0 | 0.34 |
| Stanley S. Ipson | 4 | 60 | 12.02 |
| Maryam Ferdousi | 5 | 0 | 0.34 |
| R. Malik | 6 | 8 | 2.44 |
| Arun Brahma | 7 | 4 | 1.44 |