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Automated Multi-lesion Detection For Referable Diabetic Retinopathy In Indigenous Health Care
(PUBLIC LIBRARY SCIENCESAN FRANCISCO, 2015)
Clinical validation of an artificial intelligence-based diabetic retinopathy screening tool for a national health system
(Springer Nature, 2021)
Objective To evaluate the accuracy and validity of an automated diabetic retinopathy (DR) screening tool (DART, TeleDx, Santiago, Chile) that uses artificial intelligence to analyze ocular fundus photographs for potential ...
Points of Interest and Visual Dictionaries for Automatic Retinal Lesion Detection
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2012)
Beyond Lesion-based Diabetic Retinopathy: A Direct Approach For Referral
(IEEE-Inst Electrical Electronics Engineers IncPiscataway, 2017)
Diseño de un sistema automático para determinar el grado de progresión de retinopatía diabética utilizando técnicas de visión artificial
(Universidad Autónoma de Bucaramanga UNABFacultad IngenieríaPregrado Ingeniería Mecatrónica, 2018-08-13)
La retinopatía diabética es una de las afecciones más comunes de la diabetes [1], siendo la tercera causa de ceguera irreversible en el mundo, pero la primera en personas de edad productiva (16 a 64 años) que padecen de ...
Assessing the Need for Referral in Automatic Diabetic Retinopathy Detection
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2013)
Advancing Bag-of-visual-words Representations For Lesion Classification In Retinal Images
(Public Library of Science, 2014)
Deep learning analysis of eye fundus images to support medical diagnosis
(Bogotá - Ingeniería - Doctorado en Ingeniería - Sistemas y ComputaciónUniversidad Nacional de Colombia - Sede Bogotá, 2020-06-30)
Machine learning techniques have been successfully applied to support medical decision making of cancer, heart diseases and degenerative diseases of the brain. In particular, deep learning methods have been used for early ...