Identification of Optimum Image Capturing Technique for Corneal Segmentation—A Survey
| Autor: | Shanty Chacko, H. James Deva Koresh |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
medicine.diagnostic_test
Computer science business.industry Image processing Image capture eye diseases Image (mathematics) Identification (information) medicine.anatomical_structure Optical coherence tomography Cornea medicine Computer vision Segmentation sense organs Artificial intelligence business Corneal disease |
| Zdroj: | Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) ISBN: 9783030006648 |
| DOI: | 10.1007/978-3-030-00665-5_71 |
| Popis: | Segmentation of corneal layers plays an important role in diagnosing the corneal disease and it also helpful for planning the refractive surgeries when measuring the corneal layer thicknesses. There are several imaging instruments available for capturing the image of the cornea which can be used for segmentation and thickness measurement of corneal layers. The work describes the various available imaging instruments along with the necessity of imaging the cornea. It also suggests a reliable imaging method for capturing the cornea for segmentation by doing a comparative study. It will be helpful for identifying the best image capture method for implementing the image processing technique for further segmentation and measurement flow from the image. |
| Databáze: | OpenAIRE |
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