Name
Abstract | ||
|---|---|---|
A confocal microscope provides a sequence of images, at incremental depths, of the various corneal layers and structures. From these, medical practioners can extract clinical information on the state of health of the patient's cornea. In this work we are addressing problems associated with capturing and processing these images including blurring, non-uniform illumination and noise, as well as the displacement of images laterally and in the anterior-posterior direction caused by subject movement. The latter may cause some of the captured images to be out of sequence in terms of depth. In this paper we introduce automated algorithms for classification, reordering, registration and segmentation to solve these problems. The successful implementation of these algorithms could open the door for another interesting development, which is the 3D modelling of these sequences. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.cmpb.2014.01.009 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
confocal microscope,artificial neural networks,automated algorithm,model building,classification,interesting development,medical practioners,non-uniform illumination,clinical information,confocal microscopy,registration,anterior-posterior direction,incremental depth,z-ring adapter,corneal image,segmentation,images laterally,subject movement | Computer vision,Segmentation,Computer science,Model building,Microscope,Artificial intelligence,Confocal,Artificial neural network,Confocal microscopy | Journal |
Volume | Issue | ISSN |
114 | 2 | 1872-7565 |
Citations | PageRank | References |
4 | 0.60 | 17 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdulhakim Elbita | 1 | 4 | 0.60 |
| Rami Qahwaji | 2 | 120 | 21.05 |
| Stanley S. Ipson | 3 | 60 | 12.02 |
| Mhd. Saeed Sharif | 4 | 21 | 7.18 |
| Faruque Ghanchi | 5 | 4 | 0.60 |