Title : An automated algorithm to extract features from retinal fundus image to detect diabetic retinopathy and assess its severity using deep learning

Type of Material: Thesis
Title: An automated algorithm to extract features from retinal fundus image to detect diabetic retinopathy and assess its severity using deep learning
Researcher: K.R, Anil Kumar
Guide: K., Meenakshy
Department: Faculty of Engineering
Publisher: University of Calicut, Malappuram
Place: Malappuram
Year: 2021
Language: English
Subject: Automated algorithm
Retinal fundus image
Diabetic retinopathy
Dissertation/Thesis Note: PhD

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035__|a(IN-AhILN)th_444598
040__|aCALI_673635|dIN-AhILN
041__|aeng
100__|aK.R, Anil Kumar|eResearcher
110__|aFaculty of Engineering|bUniversity of Calicut, Malappuram|dMalappuram
245__|aAn automated algorithm to extract features from retinal fundus image to detect diabetic retinopathy and assess its severity using deep learning
260__|aMalappuram|bUniversity of Calicut, Malappuram|c2021
502__|bPhD
653__|aAutomated algorithm
653__|aRetinal fundus image
653__|aDiabetic retinopathy
700__|aK., Meenakshy|eGuide
905__|anotification

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