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.

Dades bibliogràfiques
Autors principals: Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Altres autors: Bhuian, Mohammed Belal Hossain
Format: Thesis
Idioma:en_US
Publicat: Brac University 2021
Matèries:
Glaucoma
Artificial Intelligence
Fundus images
CNN
Transfer leaning
Prediction
Deep learning
VGG19
ResNet50
DenseNet121
InceptionV3
Finetuning
Accés en línia:http://hdl.handle.net/10361/14365

Internet

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

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