Nerve Segmentation with Deep Learning from Label-Free Endoscopic Images Obtained Using Coherent Anti-Stokes Raman Scattering

Nerve Segmentation with Deep Learning from Label-Free Endoscopic Images Obtained Using Coherent Anti-Stokes Raman Scattering

Semantic segmentation with deep learning to extract nerves from label-free endoscopic images obtained using coherent anti-Stokes Raman scattering (CARS) for nerve-sparing surgery is described. We developed a CARS rigid endoscope in order to identify the exact location of peripheral nerves in surgery...

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Bibliographic Details
Main Authors: Naoki Yamato, Mana Matsuya, Hirohiko Niioka, Jun Miyake, Mamoru Hashimoto
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Biomolecules
Subjects:
deep learning
semantic segmentation
nerve imaging
coherent anti-Stokes Raman scattering endoscopy
Online Access:https://www.mdpi.com/2218-273X/10/7/1012

Internet

https://www.mdpi.com/2218-273X/10/7/1012

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