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.

Detalles Bibliográficos
Autores principales: Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Otros Autores: Bhuian, Mohammed Belal Hossain
Formato: Tesis
Lenguaje:en_US
Publicado: Brac University 2021
Materias:
Glaucoma
Artificial Intelligence
Fundus images
CNN
Transfer leaning
Prediction
Deep learning
VGG19
ResNet50
DenseNet121
InceptionV3
Finetuning
Acceso en línea:http://hdl.handle.net/10361/14365

Internet

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

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