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.

Chi tiết về thư mục
Những tác giả chính:	Khan, Farhan Sakib, Ferdaus, Nowshin, Hossain, Tamim, Islam, Quazi Sabrina, Islam, Md. Iftakharul
Tác giả khác:	Alam, Md. Ashraful
Định dạng:	Luận văn
Ngôn ngữ:	English
Được phát hành:	Brac University 2022
Những chủ đề:	Convolutional neural network Optical coherence tomography Deep learning Retinal Disease VGG16 VGG19 MobNetV2 ResNet50 DenseNet121 InceptionV3 InceptionResNetV2 Neural networks (Computer science)
Truy cập trực tuyến:	http://hdl.handle.net/10361/17570

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