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.

Bibliografiset tiedot
Päätekijät:	Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Muut tekijät:	Bhuian, Mohammed Belal Hossain
Aineistotyyppi:	Opinnäyte
Kieli:	en_US
Julkaistu:	Brac University 2021
Aiheet:	Glaucoma Artiﬁcial Intelligence Fundus images CNN Transfer leaning Prediction Deep learning VGG19 ResNet50 DenseNet121 InceptionV3 Finetuning
Linkit:	http://hdl.handle.net/10361/14365

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