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.
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 language | English |
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Title of host publication | Technical Digest Series (Optica Publishing Group, 2022), paper W2A.5 |
ISBN (Electronic) | 978-1-957171-12-8 |
DOIs | |
Publication status | Published - 2022 |
Publication type | A4 Article in conference proceedings |
Event | Digital Holography and 3-D Imaging - Cambridge, United Kingdom Duration: 1 Aug 2022 → 4 Aug 2022 |
Conference
Conference | Digital Holography and 3-D Imaging |
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Country/Territory | United Kingdom |
City | Cambridge |
Period | 1/08/22 → 4/08/22 |
Publication forum classification
- Publication forum level 0