Automated segmentation of dermal fillers in OCT images of mice using convolutional neural networks
We present a system for automatic determination of the intradermal volume of hydrogels based on optical coherence tomography (OCT) and deep learning. Volumetric image data was acquired using a custom-built OCT prototype that employs an akinetic swept laser at ~1310 nm with a bandwidth of 87 nm, prov...
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Main Authors: | , , , , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2019
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/86177 http://hdl.handle.net/10220/49858 |
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Institution: | Nanyang Technological University |
Language: | English |