Title
Towards intelligent robust detection of anatomical structures in incomplete volumetric data.
Abstract
•Multi-scale DRL with robust statistical shape modeling for anatomy detection.•Multi-scale processing enables real-time speed and high detection accuracy.•Robust and principled recognition of anatomy that is missing from the field-of-view.•Extensive experiments on up to 50 anatomical landmarks and over 5000 3D-CT scans.
Year
DOI
Venue
2018
10.1016/j.media.2018.06.007
Medical Image Analysis
Keywords
Field
DocType
Deep learning,Deep reinforcement learning,Multi-scale detection,Scale-space modeling,Robust statistical shape-modeling,M-estimator sample consensus,Incomplete 3D-data,Real-time detection
Computer vision,Brute-force search,Pattern recognition,Spatial coherence,Statistical shape modeling,Artificial intelligence,Estimation theory,Deep learning,Anatomical structures,Volumetric data,Mathematics,Reinforcement learning
Journal
Volume
ISSN
Citations 
48
1361-8415
1
PageRank 
References 
Authors
0.35
36
6
Name
Order
Citations
PageRank
Florin C. Ghesu1969.17
Bogdan Georgescu21638138.49
Sasa Grbic38213.77
Andreas K. Maier4560178.76
Joachim Hornegger51734190.62
Dorin Comaniciu68389601.83