Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients
Pneumonia is a condition that can be life-threatening and affects a high number of children around the world. Lung ultrasound can be used for the diagnosis of pneumonia, but requires high experience. This paper presents an approach for pneumonia detection based on texture analysis of ultrasound imag...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9153
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9153
- Palabra clave:
- Pneumonia
Texture analysis
Ultrasound imaging
Diagnosis
Image analysis
Textures
Ultrasonic imaging
Vision
Exploratory analysis
Lung ultrasound
Pediatric patients
Pneumonia
Texture analysis
Texture features
Ultrasound images
Ultrasound imaging
Image texture
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
| Summary: | Pneumonia is a condition that can be life-threatening and affects a high number of children around the world. Lung ultrasound can be used for the diagnosis of pneumonia, but requires high experience. This paper presents an approach for pneumonia detection based on texture analysis of ultrasound images. Several measures were taken in healthy tissues and pneumonia lesions, and the most significant features were identified by statistical analysis. The results of the analysis of variance and exploratory analysis suggest that detection of pneumonia is possible based on image texture features. © 2019 IEEE. |
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