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.

Dades bibliogràfiques
Autors principals:	Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Altres autors:	Bhuian, Mohammed Belal Hossain
Format:	Thesis
Idioma:	en_US
Publicat:	Brac University 2021
Matèries:	Glaucoma Artiﬁcial Intelligence Fundus images CNN Transfer leaning Prediction Deep learning VGG19 ResNet50 DenseNet121 InceptionV3 Finetuning
Accés en línia:	http://hdl.handle.net/10361/14365

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