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.

Бібліографічні деталі
Автори: Khan, Farhan Sakib, Ferdaus, Nowshin, Hossain, Tamim, Islam, Quazi Sabrina, Islam, Md. Iftakharul
Інші автори: Alam, Md. Ashraful
Формат: Дисертація
Мова:English
Опубліковано: Brac University 2022
Предмети:
Convolutional neural network
Optical coherence tomography
Deep learning
Retinal Disease
VGG16
VGG19 MobNetV2
ResNet50
DenseNet121
InceptionV3
InceptionResNetV2
Neural networks (Computer science)
Онлайн доступ:http://hdl.handle.net/10361/17570

Інтернет

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

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