Obturator ring fracture detection using anteroposterior view x-ray
| Autor: | Charles Yaacoub, Ralph Bou Nader, Pascal Damien, Jean-Claude Lahoud |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry 020206 networking & telecommunications 02 engineering and technology medicine.anatomical_structure Simple (abstract algebra) Obturator ring 0202 electrical engineering electronic engineering information engineering medicine Fracture (geology) General Earth and Planetary Sciences 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Pelvis General Environmental Science |
| Zdroj: | EUSPN/ICTH |
| ISSN: | 1877-0509 |
| Popis: | Patients with acetabular trauma require a treatment plan based on proper recognition and classification of acetabular fractures, which depends on analyzing the status of several landmarks of the pelvis, including the obturator ring. With the aim of developing a tool for computer-aided diagnosis and classification of acetabular fractures, this paper addresses the problem of detecting disruptions of the obturator ring. In our study, anteroposterior view x-ray images are used. A simple approach is first developed, then augmented with machine learning algorithms, namely Support Vector Machines and Neural Networks. Results show that an accuracy of 94% could be reached. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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