Results 111 to 120 of about 2,892,707 (247)

Modeling the intensity profiles of retinal vessels: an extended hermite model and its validation [PDF]

, 2010
My target was to develop a model that could well follow the intensity profile of a retinal vessel, and therefore to implement an algorithm to measure the width of the vessel’s cross section. The model has to fit all the intensity profiles, also when the
Nicoli, Paola
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EFFECTUAL HUMAN AUTHENTICATION FOR CRITICAL SECURITY APPLICATIONS USING RETINAL IMAGES [PDF]

ICTACT Journal on Image and Video Processing, 2010
A robust method of human authentication based on the retinal blood vessel pattern is presented in this paper. This method entails a segmentation process to identify retinal blood vessel pattern, template generation consisting of the bifurcation points in
L. Latha, M. Pabitha, S. Thangasamy
doaj  

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Algorithms for the automatic tracking of the blood vessels network in retinal images acquired by RetCam in newborns [PDF]

, 2010
L’obiettivo di questo lavoro di tesi è la realizzazione di una serie di algoritmi capaci di tracciare automaticamente i vasi retinici in immagini acquisite tramite RetCam (field of view=130°) da neonati prematuri. I neonati prematuri rischiano infatti di
Grespan, Eleonora
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Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods

Scientific Data
Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal ...
Mikhail Kulyabin, Aleksei Zhdanov, Anastasia Nikiforova, Andrey Stepichev, Anna Kuznetsova, Mikhail Ronkin, Vasilii Borisov, Alexander Bogachev, Sergey Korotkich, Paul A. Constable, Andreas Maier   +10 more
doaj   +1 more source

Retinomorphic Visual Processing Enabled by Contact‐Engineered IGZO Optoelectronic Synaptic Memtransistors

Advanced Science, EarlyView.
Here, we present an optoelectronic synaptic memtransistor (OSMT) integrating photoresponsive IGZO with contact‐engineered HfO2, enabling electrically and optically tunable synaptic weights. The device demonstrates broad range of tunable conductance states and array‐level image processing, highlighting its potential for intelligent machine vision ...
Donghyun Kang, San Nam, Dayul Nam, In‐Soo Kim, Myung‐Gil Kim, Sung Kyu Park, Yong‐Hoon Kim   +6 more
wiley   +1 more source

Artificial intelligence and deep learning in retinal image analysis

, 2019
Publisher Copyright: © 2019 Elsevier Ltd. All rights reserved.Our goal in this chapter is to describe the recent application of deep learning and artificial intelligence (AI) techniques to retinal image analysis.
Burlina, Philippe, Cohen, Adam, Galdran, Adrian, Costa, Pedro, Campilho, Aurélio   +4 more
core   +1 more source

Large‐scale Whole‐Exome Sequencing Defines the Protein‐Coding Architecture of Retinal Structure, Visual Function, and Major Blinding Diseases

Advanced Science, EarlyView.
Large‐scale whole‐exome sequencing in 356,982 UK Biobank participants defines the protein‐coding architecture of retinal structure, visual function, and major blinding diseases. Pleiotropic genes, including CFI, C3, and RIOX1, bridge multiple retinal phenotypes, while experimental validation of FYB2 implicates RPE barrier dysfunction, providing ...
Jianqing Li, Yijun Ge, Jingxiao Du, Liu Yang, Bangsheng Wu, Chenyue Hang, Mengxi Shen, Yimin Mao, Ting Zhang, Qiyu Bo, Tianyuan Zhao, Yutian Jiao, Yazhi Wang, Shunxiang Gao, Jieqiong Chen, Junran Sun, Tong Li, Huixun Jia, Yang Dou, Wei Cheng, Xiaoling Wan, Jintai Yu, Xiaodong Sun, Bai Lu   +23 more
wiley   +1 more source

Cyclic GMP in the pig vitreous and retina after experimental retinal detachment [PDF]

, 2008
Purpose: Earlier studies have revealed a decreased level of cGMP in vitreous fluid obtained from patients with a retinal detachment. To further investigate this phenomenon, we developed an experimental retinal detachment model in pigs.
Heij, E.C., La, La Heij, Ellen C, Diederen, R., Diederen, Roselie M H, Lemmens, Marijke A M, de Vente, Jan, De Vente, J., La Heij, E.C., Lemmens, M.A.M., Kijlstra, Aize, Vente, J., De, Hendrikse, F., Hendrikse, Fred, Kijlstra, A.   +13 more
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