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.

Dettagli Bibliografici
Autori principali:	Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Altri autori:	Bhuian, Mohammed Belal Hossain
Natura:	Tesi
Lingua:	en_US
Pubblicazione:	Brac University 2021
Soggetti:	Glaucoma Artiﬁcial Intelligence Fundus images CNN Transfer leaning Prediction Deep learning VGG19 ResNet50 DenseNet121 InceptionV3 Finetuning
Accesso online:	http://hdl.handle.net/10361/14365

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