Automatic Classifying of Patients With Non-Traumatic Fractures Based on Ultrasonic Guided Wave Spectrum Image Using a Dynamic Support Vector Machine

Automatic Classifying of Patients With Non-Traumatic Fractures Based on Ultrasonic Guided Wave Spectrum Image Using a Dynamic Support Vector Machine

Bone fractures are caused by diseases or accidents and are a widespread problem throughout the globe. Worldwide, 1.6 millions of hip fractures occur every year and are expected to rise to 6.3 millions in 2050. The current gold standard to assess fracture risk is the Dual-energy X-ray Absorptiometry...

Full description

Bibliographic Details
Main Authors: Jean-Gabriel Minonzio, Bryan Cataldo, Rodrigo Olivares, Donatien Ramiandrisoa, Ricardo Soto, Broderick Crawford, Victor Hugo C. De Albuquerque, Roberto Munoz
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cortical bone
osteoporosis
fracture discrimination
quantitative ultrasound
guided waves
support vector machine
Online Access:https://ieeexplore.ieee.org/document/9237991/

Internet

https://ieeexplore.ieee.org/document/9237991/

Similar Items