Amanote Research
Register
Sign In
Automatic Quantification Framework to Detect Cracks in Teeth
doi 10.1117/12.2293603
Full Text
Open PDF
Abstract
Available in
full text
Date
March 12, 2018
Authors
Beatriz Paniagua
Hina Shah
Pablo Hernandez-Cerdan
Francois Budin
Deepak Chittajallu
Rick Walter
Andre Mol
Asma Khan
Jean-Baptiste Vimort
Publisher
SPIE
Related search
A Heterogeneous Framework to Detect Intruder Attacks in Wireless Sensor Networks
International Journal of Advanced Computer Science and Applications
Computer Science
Direct T2 Quantification to Detect Myocardial Edema in Patients With Myocarditis and Tako-Tsubo Cardiomyopathy
Journal of Cardiovascular Magnetic Resonance
Nuclear Medicine
Radiology
Ultrasound Technology
Cardiology
Family Practice
Radiological
Cardiovascular Medicine
Imaging
Odontoblastic Cell Quantification and Apoptosis Within Pulp of Deciduous Teeth Versus Pulp of Permanent Teeth
Journal of Clinical Pediatric Dentistry
Medicine
Child Health
Pediatrics
Perinatology
Dentistry
Automatic Localization and Quantification of Intracranial Aneurysms
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Development of Automatic Detection System for Cracks in Lamp Tube With Laser.
Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering
Mechanical Engineering
DyS: A Framework for Mixture Models in Quantification
Proceedings of the AAAI Conference on Artificial Intelligence
A Framework for Automatic Debugging
Automatic 3D Detection and Quantification of Co -Localization
Microscopy and Microanalysis
Instrumentation
Automatic Quantification of Microvessels Using Unsupervised Image Analysis
Analytical Cellular Pathology
