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.

Библиографические подробности
Главные авторы: Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Другие авторы: Bhuian, Mohammed Belal Hossain
Формат: Диссертация
Язык:en_US
Опубликовано: Brac University 2021
Предметы:
Glaucoma
Artificial Intelligence
Fundus images
CNN
Transfer leaning
Prediction
Deep learning
VGG19
ResNet50
DenseNet121
InceptionV3
Finetuning
Online-ссылка:http://hdl.handle.net/10361/14365

Internet

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

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