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.

Bibliografiska uppgifter
Huvudupphovsmän: Ismail, Sayem Mohammad, Hossain, Md. Sajjad, Sobhan, Irina
Övriga upphovsmän: Bhuian, Mohammed Belal Hossain
Materialtyp: Lärdomsprov
Språk:en_US
Publicerad: Brac University 2021
Ämnen:
Glaucoma
Artificial Intelligence
Fundus images
CNN
Transfer leaning
Prediction
Deep learning
VGG19
ResNet50
DenseNet121
InceptionV3
Finetuning
Länkar:http://hdl.handle.net/10361/14365

Internet

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

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