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A Deep Learning Approach for Meibomian Gland Appearance Evaluation
Ophthalmology Science, 2023 Purpose: To develop and evaluate a deep learning algorithm for Meibomian gland characteristics calculation. Design: Evaluation of diagnostic technology.
Kasandra Swiderska, PhD +5 more
doaj +1 more source
, 2020 This paper presents an automated classification method of infective and non-infective diseases from anterior eye images. Treatments for cases of infective and non-infective diseases are different. Distinguishing them from anterior eye images is important
Fukuoka, Hideki +4 more
core +1 more source
Automatic epilepsy detection using fractal dimensions segmentation and GP-SVM classification [PDF]
, 2018 Objective: The most important part of signal processing for classification is feature extraction as a mapping from original input electroencephalographic (EEG) data space to new features space with the biggest class separability value.
Jirka, Jakub +3 more
core +1 more source
Improved Approach to Iris Normalization for iris Recognition System [PDF]
Engineering and Technology Journal, 2015 As a part of a growing information society, security and the authentication of individuals become nowadays more than ever an asset of great significance in almost every field.Iris recognition system provides identification and verification automatically ...
Abdulamir Abdullah karim +1 more
doaj +1 more source
BMJ Open Ophthalmology, 2021 Objective Meibomian gland dysfunction (MGD) is a primary cause of dry eye disease. Analysis of MGD, its severity, shapes and variation in the acini of the meibomian glands (MGs) is receiving much attention in ophthalmology clinics.
Abdul Qadir +5 more
doaj +1 more source
Facial Point Detection using Boosted Regression and Graph Models [PDF]
, 2010 Finding fiducial facial points in any frame of a video showing rich naturalistic facial behaviour is an unsolved problem. Yet this is a crucial step for geometric-featurebased facial expression analysis, and methods that use appearance-based features ...
Binefa, Xavier +3 more
core +6 more sources
Segmentation-level fusion for iris recognition [PDF]
, 2015 This paper investigates the potential of fusion at normalisation/segmentation level prior to feature extraction. While there are several biometric fusion methods at data/feature level, score level and rank/decision level combining raw biometric signals,
Ferryman, James +3 more
core +1 more source
Journal of Surgery and Medicine, 2022 Background/Aim: Abnormalities of eyelid shape, including ptosis, entropion, ectropion, lagophthalmos, and dermatochalasis, can occur at any age and affects the patient’s life quality, visual functions, and comfort. These abnormalities can be regarded as illnesses and can be cured medically and surgically.
Özgür Eroğul, Mehmet Gülal
openaire +1 more source
Segmental ischaemic infarction of the iris after autologous fat injection into the lower eyelid tissue: a case report [PDF]
BMC Ophthalmology, 2017 Autologous fat injection is getting popular in cosmetic procedures, however, still has a risk of fat embolism. Herein, we report the first case of segmental ischaemic infarction of the iris, which occurred after autologous fat injection into the lower eyelid.A 28-year-old Korean woman complained of the discolouration of the iris after the fat injection.
Jaeyoung Kim, Sa Kang Kim, Mee Kum Kim
openaire +3 more sources
Evaluation of accurate eye corner detection methods for gaze estimation [PDF]
, 2014 Accurate detection of iris center and eye corners appears to be a promising approach for low cost gaze estimation. In this paper we propose novel eye inner corner detection methods. Appearance and feature based segmentation approaches are suggested.
Bengoechea, Jose Javier +3 more
core +2 more sources