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.

Bibliographische Detailangaben
Hauptverfasser:	Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Weitere Verfasser:	Bhuian, Mohammed Belal Hossain
Format:	Abschlussarbeit
Sprache:	en_US
Veröffentlicht:	Brac University 2021
Schlagworte:	Glaucoma Artiﬁcial Intelligence Fundus images CNN Transfer leaning Prediction Deep learning VGG19 ResNet50 DenseNet121 InceptionV3 Finetuning
Online Zugang:	http://hdl.handle.net/10361/14365

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