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.

Detalles Bibliográficos
Autores principales: Khan, Farhan Sakib, Ferdaus, Nowshin, Hossain, Tamim, Islam, Quazi Sabrina, Islam, Md. Iftakharul
Otros Autores: Alam, Md. Ashraful
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2022
Materias:
Convolutional neural network
Optical coherence tomography
Deep learning
Retinal Disease
VGG16
VGG19 MobNetV2
ResNet50
DenseNet121
InceptionV3
InceptionResNetV2
Neural networks (Computer science)
Acceso en línea:http://hdl.handle.net/10361/17570

Internet

http://hdl.handle.net/10361/17570

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