Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografische gegevens
Hoofdauteurs:	Datta, Pranab, Islam, Saniul, Das, Retuparna, Zabir, Mihiran Uddin
Andere auteurs:	Alam, Md. Golam Rabiul
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2021
Onderwerpen:	Machine Learning Image classification Artificial Intelligence Optical Coherence Tomography CNN Inception V3 Resnet50 VGG16 Xception Black Box LRP
Online toegang:	http://hdl.handle.net/10361/15762

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