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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Khan, Farhan Sakib, Ferdaus, Nowshin, Hossain, Tamim, Islam, Quazi Sabrina, Islam, Md. Iftakharul
مؤلفون آخرون: Alam, Md. Ashraful
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2022
الموضوعات:
Convolutional neural network
Optical coherence tomography
Deep learning
Retinal Disease
VGG16
VGG19 MobNetV2
ResNet50
DenseNet121
InceptionV3
InceptionResNetV2
Neural networks (Computer science)
الوصول للمادة أونلاين:http://hdl.handle.net/10361/17570

الانترنت

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

مواد مشابهة