Deep Learning based Segmentation of Optical Coherence Tomographic Images of Human Saphenous Varicose Vein

Maryam Viqar, Violeta Madjarova, Amit Kumar Yadav, Desislava Pashkuleva, Alexander S. Machikhin

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

Deep-learning based segmentation model is proposed for Optical Coherence
Tomography images of human varicose vein based on the U-Net model employing atrous convolution with residual blocks, which gives an accuracy of 0.9932.
Original languageEnglish
Title of host publicationTechnical Digest Series (Optica Publishing Group, 2022), paper W2A.5
ISBN (Electronic)978-1-957171-12-8
DOIs
Publication statusPublished - 2022
Publication typeA4 Article in conference proceedings
EventDigital Holography and 3-D Imaging - Cambridge, United Kingdom
Duration: 1 Aug 20224 Aug 2022

Conference

ConferenceDigital Holography and 3-D Imaging
Country/TerritoryUnited Kingdom
CityCambridge
Period1/08/224/08/22

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