A Review On digital image processing techniques for in-Vivo confocal images of the cornea
Autor: | Wilfried Philips, Marcio Costa, Danilo Babin, Alberto Taboada Crispi, Raidel Herrera-Pereda |
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Rok vydání: | 2020 |
Předmět: |
Computer science
Confocal ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Health Informatics Context (language use) Image processing Sensitivity and Specificity Cornea In vivo Digital image processing medicine Image Processing Computer-Assisted Preprocessor Radiology Nuclear Medicine and imaging Microscopy Confocal Radiological and Ultrasound Technology business.industry Pattern recognition Image enhancement Image Enhancement Computer Graphics and Computer-Aided Design medicine.anatomical_structure Computer Vision and Pattern Recognition Artificial intelligence business |
Zdroj: | Medical image analysis. 73 |
ISSN: | 1361-8423 |
Popis: | This work reviews the scientific literature regarding digital image processing for in vivo confocal microscopy images of the cornea. We present and discuss a selection of prominent techniques designed for semi- and automatic analysis of four areas of the cornea (epithelium, sub-basal nerve plexus, stroma and endothelium). The main context is image enhancement, detection of structures of interest, and quantification of clinical information. We have found that the preprocessing stage lacks of quantitative studies regarding the quality of the enhanced image, or its effects in subsequent steps of the image processing. Threshold values are widely used in the reviewed methods, although generally, they are selected empirically and manually. The image processing results are evaluated in many cases through comparison with gold standards not widely accepted. It is necessary to standardize values to be quantified in terms of sensitivity and specificity of methods. Most of the reviewed studies do not show an estimation of the computational cost of the image processing. We conclude that reliable, automatic, computer-assisted image analysis of the cornea is still an open issue, constituting an interesting and worthwhile area of research. |
Databáze: | OpenAIRE |
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