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.

Библиографические подробности
Главные авторы:	Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Другие авторы:	Bhuian, Mohammed Belal Hossain
Формат:	Диссертация
Язык:	en_US
Опубликовано:	Brac University 2021
Предметы:	Glaucoma Artiﬁcial Intelligence Fundus images CNN Transfer leaning Prediction Deep learning VGG19 ResNet50 DenseNet121 InceptionV3 Finetuning
Online-ссылка:	http://hdl.handle.net/10361/14365

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