Name
Title | ||
|---|---|---|
Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images. |
Abstract | ||
|---|---|---|
•A new intelligent system to tackle the main challenges of confocal corneal imaging is developed.•This system underpins the expertise of ophthalmologists.•It provides clinically useful factors, saves a useful amount of clinician time in the process.•It is able to model the stromal keratocyte cells for better evaluation and fast analysis.•Early approval by corneal clinicians. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.asoc.2015.07.019 | Applied Soft Computing |
Keywords | Field | DocType |
Cornea,Confocal microscopy,Artificial neural network,Adaptive neuro fuzzy inference system,Texture features,Image classification | Computer vision,Neuro-fuzzy,Data set,Committee machine,Cornea,Corneal Diseases,Artificial intelligence,Adaptive neuro fuzzy inference system,Artificial neural network,Contextual image classification,Mathematics | Journal |
Volume | Issue | ISSN |
36 | C | 1568-4946 |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mhd. Saeed Sharif | 1 | 21 | 7.18 |
| Rami Qahwaji | 2 | 120 | 21.05 |
| Stanley S. Ipson | 3 | 60 | 12.02 |
| Arun Brahma | 4 | 4 | 1.44 |