An ocular biomechanics environment for reinforcement learning [PDF]
arXiv, 2020 Reinforcement learning has been applied to human movement through physiologically-based biomechanical models to add insights into the neural control of these movements; it is also useful in the design of prosthetics and robotics. In this paper, we extend the use of reinforcement learning into controlling an ocular biomechanical system to perform ...
arxiv
Blue-blocking spectacles lenses for retinal damage protection and circadian rhythm: evaluation parameters [PDF]
arXiv, 2018 There is evidence for the effect of blue light on circadian cycle and ocular pathologies. Moreover, the introduction of LED lamps has increased the presence of blue light. In the last two years, many different blue blocking ophthalmic lenses have been introduced.
arxiv
Rules for the Cortical Map of Ocular Dominance and Orientation Columns [PDF]
, 1994 Three computational rules are sufficient to generate model cortical maps that simulate the interrelated structure of cortical ocular dominance and orientation columns: a noise input, a spatial band pass filter, and competitive normalization across all ...
Grossberg, Stephen, Olsen, Stephen J.
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, 2011 PURPOSE: To examine the profile of retinoblastoma in a national tertiary referral center in Tanzania and to report first-year outcomes of its treatment using chemotherapy. METHODS: All patients with retinoblastoma referred in 2008 were included.
Bowman, Richard J +4 more
core +1 more source
Tear fluid biomarkers in ocular and systemic disease: potential use for predictive, preventive and personalised medicine [PDF]
, 2016 In the field of predictive, preventive and personalised medicine, researchers are keen to identify novel and reliable ways to predict and diagnose disease, as well as to monitor patient response to therapeutic agents.
A Acera +183 more
core +2 more sources
Ocular Disease Classification Using CNN with Deep Convolutional Generative Adversarial Network [PDF]
Lecture Notes in Electrical Engineering, vol 1190. Springer,
Singapore. 29 September 2024The Convolutional Neural Network (CNN) has shown impressive performance in image classification because of its strong learning capabilities. However, it demands a substantial and balanced dataset for effective training. Otherwise, networks frequently exhibit over fitting and struggle to generalize to new examples.
arxiv +1 more source
Adverse events associated with intraocular injection of anti-VEGF(bevacizumab) in retinal vein ccclusion: a case report [PDF]
, 2015 Introduction: Antiangiogenic agents are often administered for treatment of Branch Retinal Vein Occlusion (BRVO). Among them, Bevacizumab has noticeable antiangiogenic and antiedemigenic properties and possesses great capacity to penetrate the retinal ...
ARTICO, Marco +7 more
core +1 more source
Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation [PDF]
arXiv, 2019 Glaucoma is a serious ocular disorder for which the screening and diagnosis are carried out by the examination of the optic nerve head (ONH). The color fundus image (CFI) is the most common modality used for ocular screening.
arxiv
Binocular disparity can explain the orientation of ocular dominance stripes in primate V1 [PDF]
arXiv, 1999 In the primate primary visual area (V1), the ocular dominance pattern consists of alternating monocular stripes. Stripe orientation follows systematic trends preserved across several species. I propose that these trends result from minimizing the length of intra-cortical wiring needed to recombine information from the two eyes in order to achieve the ...
arxiv
Understanding visual map formation through vortex dynamics of spin Hamiltonian models
, 2003 The pattern formation in orientation and ocular dominance columns is one of the most investigated problems in the brain. From a known cortical structure, we build spin-like Hamiltonian models with long-range interactions of the Mexican hat type.
A. Grinvald +16 more
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