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

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.

Bibliographische Detailangaben
Hauptverfasser:	Khan, Farhan Sakib, Ferdaus, Nowshin, Hossain, Tamim, Islam, Quazi Sabrina, Islam, Md. Iftakharul
Weitere Verfasser:	Alam, Md. Ashraful
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2022
Schlagworte:	Convolutional neural network Optical coherence tomography Deep learning Retinal Disease VGG16 VGG19 MobNetV2 ResNet50 DenseNet121 InceptionV3 InceptionResNetV2 Neural networks (Computer science)
Online Zugang:	http://hdl.handle.net/10361/17570

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