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.

Bibliografische gegevens
Hoofdauteurs: Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Andere auteurs: Bhuian, Mohammed Belal Hossain
Formaat: Thesis
Taal:en_US
Gepubliceerd in: Brac University 2021
Onderwerpen:
Glaucoma
Artificial Intelligence
Fundus images
CNN
Transfer leaning
Prediction
Deep learning
VGG19
ResNet50
DenseNet121
InceptionV3
Finetuning
Online toegang:http://hdl.handle.net/10361/14365

Internet

http://hdl.handle.net/10361/14365

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