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.

Xehetasun bibliografikoak
Egile Nagusiak:	Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Beste egile batzuk:	Bhuian, Mohammed Belal Hossain
Formatua:	Thesis
Hizkuntza:	en_US
Argitaratua:	Brac University 2021
Gaiak:	Glaucoma Artiﬁcial Intelligence Fundus images CNN Transfer leaning Prediction Deep learning VGG19 ResNet50 DenseNet121 InceptionV3 Finetuning
Sarrera elektronikoa:	http://hdl.handle.net/10361/14365

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