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DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes
- Source :
- Frontiers in Neuroscience, Vol 14 (2020)
- Publication Year :
- 2020
- Publisher :
- Frontiers Media S.A., 2020.
-
Abstract
- We present DeepVesselNet, an architecture tailored to the challenges faced when extracting vessel trees and networks and corresponding features in 3-D angiographic volumes using deep learning. We discuss the problems of low execution speed and high memory requirements associated with full 3-D networks, high-class imbalance arising from the low percentage (
Details
- Language :
- English
- ISSN :
- 1662453X
- Volume :
- 14
- Database :
- Directory of Open Access Journals
- Journal :
- Frontiers in Neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.3362901960b5417d87014b0d3ac514d8
- Document Type :
- article
- Full Text :
- https://doi.org/10.3389/fnins.2020.592352