Digital Technology and Artificial Intelligence in Ophthalmology

Dear Colleagues,

1. Aim:

The cost of blindness to society and individuals is huge, and many cases can be avoided by early intervention. Early and reliable diagnosis strategies and effective treatments are therefore a world priority.

Automatic and semi-automatic ophthalmic image analysis has been widely used in the study of ophthalmic disease assisted diagnosis and treatment, and increasingly percolating into clinical practice.  Significant challenges remain in terms of reliability and validation, number and type of conditions considered, multimodal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies, to mention a few.

This Special Issue aims to bring together scientists, clinicians, and students from multiple disciplines in the growing ophthalmic image analysis community, such as electronic engineering, computer science, mathematics, and medicine, to discuss the latest advancements in the field.

2. Scope：

• Computer-aided detection and diagnosis of disease
• Image analysis of novel ophthalmic imaging modalities
• Multimodal ophthalmic image analysis
• Cross-modal image generation
• Ophthalmic image atlases
• Ophthalmic image analysis in animals
• Registration of ophthalmic images, including multimodal
• Segmentation of structures (e.g., vasculature, lesions, landmarks)
• Combined analysis of images of the eye and other organs
• Crowd sourcing
•  ……

Prof. Dr. Yanwu Xu
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• ophthalmic image analysis
• multimodal analysis
• optical coherence tomography
• digital Technology
• artificial intelligence