With the advancement of computational power, refinement of learning algorithms and
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …

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 …

Background Corneal endothelium (CE) images provide valuable clinical information
regarding the health state of the cornea. Computation of the clinical morphometric …

Abstract Background and Objective Corneal endothelial cell abnormalities may be
associated with a number of corneal and systemic diseases. Damage to the endothelial cells …

Corneal endothelium images obtained by in vivo specular microscopy provide important
information to assess the health status of the cornea. Estimation of clinical parameters, such …

Abstract Diabetic Peripheral Neuropathy (DPN) is one of the most common types of diabetes
that can affect the cornea. An accurate analysis of the nerve structures can assist the early …

In modern ophthalmology, the advent of artificial intelligence (AI) is gradually showing
promising results. The application of complex algorithms to machine and deep learning has …

Purpose: The corneal endothelium, the innermost layer of the human cornea, exhibits a
morphology of predominantly hexagonal cells. These endothelial cells are believed to have …

Purpose: Corneal images acquired by in vivo microscopy provide important clinical
information on the health state of the corneal endothelium. However, the reliable estimation …

Endothelial dysfunction and damage underlie cerebrovascular disease and ischemic stroke.
We undertook corneal confocal microscopy (CCM) to quantify corneal endothelial cell and …