Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.

Bibliografische gegevens
Hoofdauteurs:	Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Andere auteurs:	Bhuian, Mohammed Belal Hossain
Formaat:	Thesis
Taal:	en_US
Gepubliceerd in:	Brac University 2021
Onderwerpen:	Glaucoma Artiﬁcial Intelligence Fundus images CNN Transfer leaning Prediction Deep learning VGG19 ResNet50 DenseNet121 InceptionV3 Finetuning
Online toegang:	http://hdl.handle.net/10361/14365

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