Journal of Healthcare Engineering

Image Processing in Ophthalmology


Status
Published

1University of Silesia, Katowice, Poland

2Medical University of Silesia, Katowice, Poland

3Seconda Universita degli Studi di Napoli, Naples, Italy

4Academy of Technological Sciences of Ukraine, Kiev, Ukraine

5Instituto de Olhos Renato Ambrósio, Rio de Janeiro, Brazil


Image Processing in Ophthalmology

Description

Image processing is now an indispensable element occurring in almost every field of life. Image processing is particularly useful in medicine. It provides not only qualitative information (as it has been so far) but also quantitative information. This information applies to both the course of the disease and quantitative assessment of the progress of its treatment. Quantitative information allows for more precise treatment and selection of drugs. This type of image analysis and processing algorithms is also used in ophthalmology. However, regardless of the field of medicine, the algorithms must be profiled to a specific application and population. On the other hand, every software application should be versatile enough to allow for the analysis of considerable interindividual variability in patients. This result can only be achieved by narrowing the search area of the analysis methods to, for example, those proposed in this special edition devoted to image processing in ophthalmology.

The subject of this special issue relates to modern methods of image analysis and processing characterized by repeatability of measurements, low sensitivity to changing parameters (such as the dependence of the results on the operator, the method of performing an examination, and the type of device on which the examination was performed). Additionally, attachments in the form of a source code of the proposed algorithm/software or videos are most welcome. The area of this special issue will certainly be of interest to bioengineers, ophthalmologists (as well as doctors of other specializations), computer scientists, graduate students, and senior students wishing to expand their knowledge related to modern methods of image analysis and processing used in ophthalmology.

Potential topics include but are not limited to the following:

  • Algorithms for image analysis and processing in ophthalmology
  • New methods of image processing in the analysis of solid dosage forms
  • Algorithms for image analysis and combination of pattern classifiers with application

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 1545632
  • - Editorial

Image Processing in Ophthalmology

Robert Koprowski | Anna Nowińska | ... | Renato Ambrosio
  • Special Issue
  • - Volume 2018
  • - Article ID 5705749
  • - Review Article

Corneal Vibrations during Intraocular Pressure Measurement with an Air-Puff Method

Robert Koprowski | Sławomir Wilczyński
  • Special Issue
  • - Volume 2018
  • - Article ID 9481328
  • - Research Article

Vision Diagnostics and Treatment System for Children with Disabilities

Pawel Kasprowski | Katarzyna Harezlak
  • Special Issue
  • - Volume 2017
  • - Article ID 1489524
  • - Research Article

Feature-Based Retinal Image Registration Using D-Saddle Feature

Roziana Ramli | Mohd Yamani Idna Idris | ... | Hamzah Arof
  • Special Issue
  • - Volume 2017
  • - Article ID 4315238
  • - Research Article

Measurements of Corneal Thickness in Eyes with Pseudoexfoliation Syndrome: Comparative Study of Different Image Processing Protocols

Katarzyna Krysik | Dariusz Dobrowolski | ... | Edward A. Wylegala
  • Special Issue
  • - Volume 2017
  • - Article ID 4897258
  • - Research Article

Blood Vessel Extraction in Color Retinal Fundus Images with Enhancement Filtering and Unsupervised Classification

Zafer Yavuz | Cemal Köse
  • Special Issue
  • - Volume 2017
  • - Article ID 4673714
  • - Research Article

Longitudinal Changes in Retinal Nerve Fiber Layer Thickness Evaluated Using Avanti Rtvue-XR Optical Coherence Tomography after 23G Vitrectomy for Epiretinal Membrane in Patients with Open-Angle Glaucoma

Anita Lyssek-Boroń | Adam Wylęgała | ... | Dariusz Dobrowolski
Journal of Healthcare Engineering
 Journal metrics
Acceptance rate37%
Submission to final decision99 days
Acceptance to publication48 days
CiteScore2.600
Impact Factor1.803
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