ClaRet -- A CNN Architecture for Optical Coherence Tomography

Adit Magotra; Aagat Gedam; Tanush Savadi; Emily Li

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arXiv · 2211.16746

ClaRet -- A CNN Architecture for Optical Coherence Tomography

Adit Magotra·Aagat Gedam·Tanush Savadi·Emily Li

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Abstract

Optical Coherence Tomography is a technique used to scan the Retina of the eye and check for tears. In this paper, we develop a Convolutional Neural Network Architecture for OCT scan classification. The model is trained to detect Retinal tears from an OCT scan and classify the type of tear. We designed a block-based approach to accompany a pre-trained VGG-19 using Transfer Learning by writing customised layers in blocks for better feature extraction. The approach achieved substantially better results than the baseline we initially started out with.

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Adit Magotra, Aagat Gedam, Tanush Savadi, Emily Li. 2022-11-30. ClaRet -- A CNN Architecture for Optical Coherence Tomography. https://arxiv.org/abs/2211.16746

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