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.

書誌詳細
主要な著者:	Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
その他の著者:	Bhuian, Mohammed Belal Hossain
フォーマット:	学位論文
言語:	en_US
出版事項:	Brac University 2021
主題:	Glaucoma Artiﬁcial Intelligence Fundus images CNN Transfer leaning Prediction Deep learning VGG19 ResNet50 DenseNet121 InceptionV3 Finetuning
オンライン･アクセス:	http://hdl.handle.net/10361/14365

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