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.

Podrobná bibliografie
Hlavní autoři:	Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Další autoři:	Bhuian, Mohammed Belal Hossain
Médium:	Diplomová práce
Jazyk:	en_US
Vydáno:	Brac University 2021
Témata:	Glaucoma Artiﬁcial Intelligence Fundus images CNN Transfer leaning Prediction Deep learning VGG19 ResNet50 DenseNet121 InceptionV3 Finetuning
On-line přístup:	http://hdl.handle.net/10361/14365

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