| Title |
Analysis of retinal fundus images for grading of diabetic retinopathy severity
|
|---|---|
| Published in |
Medical & Biological Engineering & Computing, January 2011
|
| DOI | 10.1007/s11517-011-0734-2 |
| Pubmed ID | |
| Authors |
M. H. Ahmad Fadzil, Lila Iznita Izhar, Hermawan Nugroho, Hanung Adi Nugroho |
| Abstract |
Diabetic retinopathy (DR) is a sight threatening complication due to diabetes mellitus that affects the retina. In this article, a computerised DR grading system, which digitally analyses retinal fundus image, is used to measure foveal avascular zone. A v-fold cross-validation method is applied to the FINDeRS database to evaluate the performance of the DR system. It is shown that the system achieved sensitivity of >84%, specificity of >97% and accuracy of >95% for all DR stages. At high values of sensitivity (>95%), specificity (>97%) and accuracy (>98%) obtained for No DR and severe NPDR/PDR stages, the computerised DR grading system is suitable for early detection of DR and for effective treatment of severe cases. |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 3 | 4% |
| Malaysia | 1 | 1% |
| Spain | 1 | 1% |
| Netherlands | 1 | 1% |
| Unknown | 68 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 22% |
| Student > Ph. D. Student | 13 | 18% |
| Student > Bachelor | 7 | 9% |
| Student > Postgraduate | 5 | 7% |
| Lecturer > Senior Lecturer | 4 | 5% |
| Other | 14 | 19% |
| Unknown | 15 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 28 | 38% |
| Computer Science | 20 | 27% |
| Medicine and Dentistry | 6 | 8% |
| Neuroscience | 2 | 3% |
| Mathematics | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 15 | 20% |