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.

Xehetasun bibliografikoak
Egile Nagusiak: Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Beste egile batzuk: Bhuian, Mohammed Belal Hossain
Formatua: Thesis
Hizkuntza:en_US
Argitaratua: Brac University 2021
Gaiak:
Glaucoma
Artificial Intelligence
Fundus images
CNN
Transfer leaning
Prediction
Deep learning
VGG19
ResNet50
DenseNet121
InceptionV3
Finetuning
Sarrera elektronikoa:http://hdl.handle.net/10361/14365

Internet

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

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