The localization and segmentation of biomarkers in OCT images are critical steps in retina-
related disease diagnosis. Although fully supervised deep learning models can segment …

Background Keratoconus remains difficult to diagnose, especially in the early stages. It is a
progressive disorder of the cornea that starts at a young age. Diagnosis is based on clinical …

Objective To develop deep learning methods with high accuracy for segmenting irregular
corneas and detecting the tear fluid reservoir (TFR) boundary under the scleral lens …

Abstract Magnetic Resonance Imaging (MRI) plays an important role in diagnosing the
parotid tumor, where accurate segmentation of tumors is highly desired for determining …

The prevalence of neurodegenerative diseases (NDDs) such as Alzheimer's (AD),
Parkinson's (PD), Essential tremor (ET), and Multiple Sclerosis (MS) is increasing alongside …

The tear fluid reservoir (TFR) under the sclera lens is a unique characteristic providing
optical neutralization of any aberrations from corneal irregularities. Anterior segment optical …

Objective. Choroidal vessels account for 85% of all blood vessels in the eye, and the
accurate segmentation of choroidal vessels from optical coherence tomography (OCT) …

Zebrafish (Danio rerio) eyes are widely used in modeling studies of human ophthalmic
diseases, including glaucoma and myopia. These pathologies cause morphological …

Objectives Optical coherence tomography (OCT) is a new imaging technology that uses an
optical analog of ultrasound imaging for biological tissues. Image segmentation plays an …

Multiple Sclerosis (MS), the leading cause of non-traumatic neurological impairment in
young adults, manifests morphological changes in the retina observable in Optical …