Results 11 to 20 of about 4,713 (248)
SmartPLR: a digital solution for AI-powered smartphone pupillometry [PDF]
Background To develop a smartphone-based pupillometry using deep learning and evaluate its accuracy compared to a commercial pupillometer, the NPi-300. Methods 336 pupillary light reflex (PLR) exams from 158 volunteers were analyzed using deep learning ...
Kyu Lim Kim +3 more
doaj +2 more sources
Meibomian gland dysfunction (MGD) is caused by abnormalities of the meibomian glands (MG) and is one of the causes of evaporative dry eye (DED). Precise MG segmentation is crucial for MGD-related DED diagnosis because the morphological parameters of MG ...
Xianyu Deng +13 more
doaj +1 more source
Iris Segmentation Algorithm Based on Probabilistic Boosting Tree [PDF]
Aiming at the problem that the traditional edge detection algorithm cannot automatically extract iris contour from the edge points,a edge detection algorithm based on supervised learning for iris segmentation is proposed in this paper.A set of features ...
ZHOU Kai,SU Juan
doaj +1 more source
A unified approach for automated segmentation of pupil and iris in on-axis images
We propose a unified approach for the automatic and accurate segmentation of the pupil and iris from on-axis grayscale eye images. The segmentation of pupil and iris is achieved with Basis-spline-based active contour and circular active contour ...
Grissel Priyanka Mathias +3 more
doaj +1 more source
Plexiform neurofibromas are classically thought to be pathognomonic for neurofibromatosis type 1. However, isolated forms may occur, particularly as a manifestation of segmental neurofibromatosis related to postzygotic mosaicism in the NF1 gene.
Stallworth, Jeannette Y +3 more
openaire +4 more sources
TEyeD: Over 20 Million Real-World Eye Images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types [PDF]
Download: https://es-cloud.cs.uni-tuebingen.de/d/8e2ab8c3fdd444e1a135/?p=%2FTEyeDS&mode=list Alternative Download: https://hctlsrva.edu.sot.tum.de/TEyeDS/
Wolfgang Fuhl +2 more
openaire +2 more sources
This paper presents a complete iris identification system including three main stages: iris segmentation, signature extraction, and signature comparison.
Maria Trocan +3 more
doaj +2 more sources
Real-Time Detection and Measurement of Eye Features from Color Images
The accurate extraction and measurement of eye features is crucial to a variety of domains, including human-computer interaction, biometry, and medical research.
Diana Borza +2 more
doaj +1 more source
Two-stage hemoglobin prediction based on prior causality
IntroductionPerioperative hemoglobin (Hb) levels can influence tissue metabolism. For clinical physicians, precise Hb concentration greatly contributes to intraoperative blood transfusion.
Yuwen Chen +3 more
doaj +1 more source
Smart Antennas and Intelligent Sensors Based Systems: Enabling Technologies and Applications [PDF]
open access articleThe growing communication and computing capabilities in the devices enlarge the connected world and improve the human life comfort level.
Fawad, Zaman +3 more
core +1 more source

