Automated segmentation of dermal fillers in OCT images of mice using convolutional neural networks

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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Bibliographic Details
Main Authors: Pfister, Martin, Schützenberger, Kornelia, Pfeiffenberger, Ulrike, Messner, Alina, Chen, Zhe, Puchner, Stefan, Garhöfer, Gerhard, Schmetterer, Leopold, Gröschl, Martin, Werkmeister, René M., Aranha dos Santos, Valentin
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Journal Article
Language:English
Published: 2019
Subjects:
Convolutional Neural Network
Optical Coherence Tomography
Science::Medicine
Online Access:https://hdl.handle.net/10356/86177
http://hdl.handle.net/10220/49858

Internet

https://hdl.handle.net/10356/86177
http://hdl.handle.net/10220/49858

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