Výsledky vyhledávání - "Kleyton Arlindo Barella"

Akademický článek

Glaucoma Diagnostic Accuracy of Machine Learning Classifiers Using Retinal Nerve Fiber Layer and Optic Nerve Data from SD-OCT

Autor: Kleyton Arlindo Barella, Vital Paulino Costa, Vanessa Gonçalves Vidotti, Fabrício Reis Silva, Marcelo Dias, Edson Satoshi Gomi

Publikováno v: Journal of Ophthalmology, Vol 2013 (2013)

Purpose. To investigate the diagnostic accuracy of machine learning classifiers (MLCs) using retinal nerve fiber layer (RNFL) and optic nerve (ON) parameters obtained with spectral domain optical coherence tomography (SD-OCT). Methods. Fifty-seven pa

Externí odkaz: https://doaj.org/article/52bca34a4bc44260a27258afaca33902

Zobrazit plný text záznamu

Akademický článek

Indications and visual outcomes of intrastromal corneal ring segment implantation in a large patient series

Autor: Taíse Tognon, Mauro Campos, João Paulo Wengrzynovski, Kleyton Arlindo Barella, Adriano Pasqualotti, Luiz Antônio de Brito Martins, Adriana dos Santos Forseto, Luciene Barbosa de Sousa

Publikováno v: Clinics, Vol 72, Iss 6, Pp 370-377

OBJECTIVES: To describe the indications for and visual outcomes of intrastromal corneal ring segment implantation. METHODS: A large retrospective case-series chart-review study was conducted using Sorocaba Ophthalmological Hospital medical records. T

Externí odkaz: https://doaj.org/article/a37c56a4316a41e494cb324ed5313d85

Zobrazit plný text záznamu

Validation of direct method to quantify dexamethasone in human aqueous humor by LC–MS/MS

Autor: Ana Cláudia Noboli, Pedro Serafim Júnior, Cláudio Roberto Marquez, Amanda Hayashi Yamanouchi Brandão, Kleyton Arlindo Barella, Aline Cristina Martho, José Jorge Gabbai, Mônica Siqueira Ferreira, Danieli Almeida Dos Santos, Maria Francesca Riccio

Publikováno v: Bioanalysis. 10:1361-1370

Aim: Dexamethasone (Dex) has been used for the treatment of ocular diseases, presenting concentrations up to 150 ng/ml in the biological matrix. Drug sampling has been performed from aqueous humor (AH), which the volume varies from 50 to 200 μl, bec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73f0534fc723b1323b645f86e8405b12
https://doi.org/10.4155/bio-2018-0079

Zobrazit plný text záznamu

Glaucoma diagnostic accuracy of machine learning classifiers using retinal nerve fiber layer and optic nerve head data from spectral domain optical coherence tomography

Autor: Kleyton Arlindo Barella

Publikováno v: Biblioteca Digital de Teses e Dissertações da Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP

Orientador: Vital Paulino Costa Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Ciências Médicas Resumo: O presente estudo teve como objetivo investigar a acurácia dos classificadores de aprendizagem de máquina (MLCs) utilizand

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b363d57d4593b8a5321352e419c7a838

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání