An efficient deep learning approach to detect retinal disease using optical coherence tomographic images

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliographic Details
Main Authors:	Khan, Farhan Sakib, Ferdaus, Nowshin, Hossain, Tamim, Islam, Quazi Sabrina, Islam, Md. Iftakharul
Other Authors:	Alam, Md. Ashraful
Format:	Thesis
Language:	English
Published:	Brac University 2022
Subjects:	Convolutional neural network Optical coherence tomography Deep learning Retinal Disease VGG16 VGG19 MobNetV2 ResNet50 DenseNet121 InceptionV3 InceptionResNetV2 Neural networks (Computer science)
Online Access:	http://hdl.handle.net/10361/17570

Description
Summary:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

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