Efficient OCT Image Segmentation Using Neural Architecture Search

Saba Heidari Gheshlaghi
Saba Heidari Gheshlaghi
Omid Dehzangi
Omid Dehzangi
Annahita Amireskandari
Annahita Amireskandari
Ali Rezai
Ali Rezai
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Abstract:

In this work, we propose a Neural Architecture Search (NAS) for retinal layer segmentation in Optical Coherence Tomography (OCT) scans. We incorporate the Unet architecture in the NAS framework as its backbone for the segmentation of the retinal layers in our collected and pre-processed OCT image dataset. At the pre-processing stage, we...More

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