Results 71 to 80 of about 238,742 (294)

Retinal image quality assessment using transfer learning: Spatial images vs. wavelet detail subbands

Ain Shams Engineering Journal, 2021
Retinal image quality assessment (RIQA) is essential to assure that images used for medical analysis are of sufficient quality for reliable diagnosis. A modified VGG16 network with transfer learning is introduced in order to classify retinal images into ...
Lamiaa Abdel-Hamid
doaj   +1 more source

Prevalence of age-related macular degeneration in Nakuru, Kenya: a cross-sectional population-based study. [PDF]

, 2013
BACKGROUND: Diseases of the posterior segment of the eye, including age-related macular degeneration (AMD), have recently been recognised as the leading or second leading cause of blindness in several African countries.
Bastawrous, Andrew, Foster, Allen, Kuper, Hannah, Leung, Irene, Mathenge, Wanjiku, Peto, Tunde   +5 more
core   +6 more sources

Artifact‐Minimizing Ultrathin Transparent Electrodes Fabricated via iCVD for In Vivo Optogenetic Stimulation and Neural Signal Monitoring of Primary Visual Cortex

Advanced Functional Materials, EarlyView.
We present ultrathin flexible transparent electrodes through iCVD‐enabled molecular control of 10 nm gold films on poly(dimethylaminomethylstyrene). In vivo validation demonstrated photoelectric artifact reduction vs. opaque electrodes and preservation of natural neural dynamics.
Tae Jin Mun, Minju Kim, Chaesung Kim, Yunyoung Choi, In‐Yeop Baek, Younghak Cho, Gyeongyong Lee, Yerim Jang, Min‐Ho Nam, Wonryung Lee, Maesoon Im, Hyejeong Seong   +11 more
wiley   +1 more source

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

Advanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong, Dohyean Kim, Jiyun Jeong, Taekyeong Kim, Soon‐sung Kwon, Junyoung Seo, Il Jeon, Im Doo Jung   +7 more
wiley   +1 more source

An XNet-CNN Diabetic Retinal Image Classification Method

Journal of Harbin University of Science and Technology, 2020
In this research,a retina image automatic recognition system based on Convolutional Neural Network (CNN) is proposed for the disadvantages of the traditional retina image processing process which is cumbersome and poor in robustness.
CHEN Yu, ZHOU Yujia, DING Hui
doaj   +1 more source

Retinal image quality during accommodation [PDF]

Ophthalmic and Physiological Optics, 2013
AbstractPurposeWe asked if retinal image quality is maximum during accommodation, or sub‐optimal due to accommodative error, when subjects perform an acuity task.MethodsSubjects viewed a monochromatic (552 nm), high‐contrast letter target placed at various viewing distances. Wavefront aberrations of the accommodating eye were measured near the endpoint
Norberto, López-Gil, Jesson, Martin, Tao, Liu, Arthur, Bradley, David, Díaz-Muñoz, Larry N, Thibos   +5 more
openaire   +2 more sources

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

Advanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 more
wiley   +1 more source

A novel vector field analysis for quantitative structure changes after macular epiretinal membrane surgery

Scientific Reports
The aim of this study was to introduce novel vector field analysis for the quantitative measurement of retinal displacement after epiretinal membrane (ERM) removal. We developed a novel framework to measure retinal displacement from retinal fundus images
Seok Hyun Bae, Sojung Go, Jooyoung Kim, Kyu Hyung Park, Soochahn Lee, Sang Jun Park   +5 more
doaj   +1 more source

Evaluating inner retinal dimples after inner limiting membrane removal using multimodal imaging of optical coherence tomography

BMC Ophthalmology, 2018
Background To evaluate inner retinal dimples after peeling of the inner limiting membrane (ILM) for macular holes (lamellar macular hole [LMH] and full-thickness macular hole [FTMH]) via multiple imaging modes of spectral-domain optical coherence ...
Jingjing Liu, Yiye Chen, Shiyuan Wang, Xiang Zhang, Peiquan Zhao   +4 more
doaj   +1 more source

Focused and defocused retinal images with Bessel and axicon pupil functions. [PDF]

, 2020
Retinal image light distributions in a standard optical model of a diffraction-limited eye with round pupils are presented for several patterns of amplitude and phase modulation of the light admitted into the eye.
Westheimer, Gerald
core