Results 1 to 10 of about 139,227 (306)

Artificial Compound Eye Systems and Their Application: A Review

Micromachines, 2021
The natural compound eye system has many outstanding properties, such as a more compact size, wider-angle view, better capacity to detect moving objects, and higher sensitivity to light intensity, compared to that of a single-aperture vision system ...
Huu Lam Phan, Jungho Yi, Joonsung Bae, Hyoungho Ko, Sangmin Lee, Dongil Cho, Jong-Mo Seo, Kyo-in Koo   +7 more
doaj   +2 more sources

Artificial Tears: A Systematic Review [PDF]

Clinical Optometry, 2023
David A Semp, Danielle Beeson, Amy L Sheppard, Debarun Dutta, James S Wolffsohn School of Optometry, College of Health and Life Sciences, Aston University, Birmingham, UKCorrespondence: James S Wolffsohn, Tel +44 121 2044140, Email j.s.w.wolffsohn@aston ...
Semp DA, Beeson D, Sheppard AL, Dutta D, Wolffsohn JS   +4 more
doaj   +2 more sources

Artificial neural superposition eye

Optics Express, 2022
S.11922-11933We propose an ultra-thin imaging system which is based on the neural superposition compound eye of insects. Multiple light sensitive pixels in the footprint of each lenslet of this multi-channel configuration enable the parallel imaging of ...
Dannberg, P., Tünnermann, A., Bräuer, A., Brückner, A., Duparre, J.   +4 more
core   +3 more sources

Comparison of novel lipid-based eye drops with aqueous eye drops for dry eye: a multicenter, randomized controlled trial

Clinical Ophthalmology, 2015
Peter A Simmons, Cindy Carlisle-Wilcox, Joseph G Vehige Ophthalmology Research and Development, Allergan, Inc., Irvine, CA, USA Background: Dry eye may be caused or exacerbated by deficient lipid secretion.
Simmons PA, Carlisle-Wilcox C, Vehige JG
doaj   +1 more source

Classifying neovascular age-related macular degeneration with a deep convolutional neural network based on optical coherence tomography images

Scientific Reports, 2022
Neovascular age-related macular degeneration (nAMD) is among the main causes of visual impairment worldwide. We built a deep learning model to distinguish the subtypes of nAMD using spectral domain optical coherence tomography (SD-OCT) images.
Jinyoung Han, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Hak Jun Lee, Junseo Ko, Jeewoo Yoon, Daniel Duck-Jin Hwang   +8 more
doaj   +1 more source

Advances in artificial intelligence applications for ocular surface diseases diagnosis

Frontiers in Cell and Developmental Biology, 2022
In recent years, with the rapid development of computer technology, continual optimization of various learning algorithms and architectures, and establishment of numerous large databases, artificial intelligence (AI) has been unprecedentedly developed ...
Yuke Ji, Sha Liu, Xiangqian Hong, Yi Lu, Xingyang Wu, Kunke Li, Keran Li, Yunfang Liu   +7 more
doaj   +1 more source

Classifying central serous chorioretinopathy subtypes with a deep neural network using optical coherence tomography images: a cross-sectional study

Scientific Reports, 2022
Central serous chorioretinopathy (CSC) is the fourth most common retinopathy and can reduce quality of life. CSC is assessed using optical coherence tomography (OCT), but deep learning systems have not been used to classify CSC subtypes. This study aimed
Jeewoo Yoon, Jinyoung Han, Junseo Ko, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Kyuhwan Jang, Joonhong Sohn, Kyu Hyung Park, Daniel Duck-Jin Hwang   +10 more
doaj   +1 more source

Artificial Eye for the Blind

CoRR, 2023
23 pages , 16 ...
Abhinav Benagi, Dhanyatha Narayan, Charith Rage, A Sushmitha   +3 more
openaire   +2 more sources

Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography

Scientific Reports, 2021
This cross-sectional study aimed to build a deep learning model for detecting neovascular age-related macular degeneration (AMD) and to distinguish retinal angiomatous proliferation (RAP) from polypoidal choroidal vasculopathy (PCV) using a convolutional
Daniel Duck-Jin Hwang, Seong Choi, Junseo Ko, Jeewoo Yoon, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Hak Jun Lee, Joonhong Sohn, Kyu Hyung Park, Jinyoung Han   +10 more
doaj   +1 more source

Matrix metalloproteinase 9 is associated with conjunctival microbiota culture positivity in Korean patients with chronic Stevens-Johnson syndrome

BMC Ophthalmology, 2022
Background Stevens-Johnson syndrome (SJS) is an abnormal immune-response causing extensive exfoliation of the mucocutaneous tissue including conjunctiva. While several factors are associated with the alteration of conjunctival microbiota, the conjunctiva
Jayoon Moon, Yunjin Lee, Chang Ho Yoon, Mee Kum Kim   +3 more
doaj   +1 more source