Linear-regression convolutional neural network for fully automated coronary lumen segmentation in intravascular optical coherence tomography
Intravascular optical coherence tomography (OCT) is an optical imaging modality commonly used in the assessment of coronary artery diseases during percutaneous coronary intervention. Manual segmentation to assess luminal stenosis from OCT pullback scans is challenging and time consuming. We propose...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Published: |
International Society for Optical Engineering (SPIE)
2017
|
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1117/1.JBO.22.12.126005 http://dx.doi.org/10.1117/1.JBO.22.12.126005 |