Results 51 to 60 of about 16,577 (195)
Every eye needs a best chance to see: Just give it
Indian Journal of Ophthalmology, 2023 Background: Anterior staphyloma is defined as a localized defect in the anterior eye wall with protrusion of the uveal tissue due to alterations in scleral thickness and structure. The causes could be congenital, trauma, or following infection. Surgical
Yathish Shivanna +2 more
doaj +1 more source
CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound [PDF]
arXiv, 2022 Precise and rapid categorization of images in the B-scan ultrasound modality is vital for diagnosing ocular diseases. Nevertheless, distinguishing various diseases in ultrasound still challenges experienced ophthalmologists. Thus a novel contrastive disentangled network (CDNet) is developed in this work, aiming to tackle the fine-grained image ...
arxiv
Data-dependent Posterior Propriety of Bayesian Beta-Binomial-Logit Model [PDF]
Bayesian Analysis (2017) 12, 2, 533-555, 2015 A Beta-Binomial-Logit model is a Beta-Binomial model with covariate information incorporated via a logistic regression. Posterior propriety of a Bayesian Beta-Binomial-Logit model can be data-dependent for improper hyper-prior distributions. Various researchers in the literature have unknowingly used improper posterior distributions or have given ...
arxiv +1 more source
Indian Journal of Ophthalmology, 2017 Choroidal coloboma and posterior staphyloma are two clinically distinct entities, with choroidal excavation being a unifying feature. They are associated with early onset cataract which can make ophthalmoscopy difficult.
Anubha Rathi +4 more
doaj +1 more source
Matching prior pairs connecting Maximum A Posteriori estimation and posterior expectation [PDF]
arXiv, 2023 Bayesian statistics has two common measures of central tendency of a posterior distribution: posterior means and Maximum A Posteriori (MAP) estimates. In this paper, we discuss a connection between MAP estimates and posterior means. We derive an asymptotic condition for a pair of prior densities under which the posterior mean based on one prior ...
arxiv
Posterior risk of modular and semi-modular Bayesian inference [PDF]
arXiv, 2023 Modular Bayesian methods perform inference in models that are specified through a collection of coupled sub-models, known as modules. These modules often arise from modelling different data sources or from combining domain knowledge from different disciplines.
arxiv
American Journal of Ophthalmology Case Reports, 2021 Purpose: to describe a patient with a contractile peripapillary staphyloma and transient visual loss (TVL) that underwent repeated OCTA examination documenting disc contraction and increased peripapillary vessel density as the mechanism of TVL ...
Kenzo Hokazono +2 more
doaj
Post-Processed Posteriors for Sparse Covariances and Its Application to Global Minimum Variance Portfolio [PDF]
arXiv, 2021 We consider Bayesian inference of sparse covariance matrices and propose a post-processed posterior. This method consists of two steps. In the first step, posterior samples are obtained from the conjugate inverse-Wishart posterior without considering the sparse structural assumption.
arxiv
Clinical &Experimental Ophthalmology, EarlyView.ABSTRACT Optical coherence tomography angiography is a burgeoning imaging modality in Ophthalmology. In this review, we outline the breadth of potential utility for optical coherence tomography angiography for diagnosis and prognostication in neuro‐ophthalmology.
Marzieh Tahmasebi Sarvestani +2 more
wiley +1 more source
Post-Processed Posteriors for Banded Covariances [PDF]
arXiv, 2020 We consider Bayesian inference of banded covariance matrices and propose a post-processed posterior. The post-processing of the posterior consists of two steps. In the first step, posterior samples are obtained from the conjugate inverse-Wishart posterior which does not satisfy any structural restrictions.
arxiv