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.

Bibliografiska uppgifter
Huvudupphovsmän:	Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Övriga upphovsmän:	Bhuian, Mohammed Belal Hossain
Materialtyp:	Lärdomsprov
Språk:	en_US
Publicerad:	Brac University 2021
Ämnen:	Glaucoma Artiﬁcial Intelligence Fundus images CNN Transfer leaning Prediction Deep learning VGG19 ResNet50 DenseNet121 InceptionV3 Finetuning
Länkar:	http://hdl.handle.net/10361/14365

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