Analysis and classification of lung and muscular tissues in ultrasound images using 2D wavelet transform and machine learning
Ultrasound has been considered a safe and accurate alternative to radiography and computerized tomography to diagnose lung diseases such as pneumonia. However, speckle noise, artifacts or certain conditions can difficult image interpretation. For example, in some cases, the pleura line cannot be obs...
- Autores:
-
Contreras Ojeda, Sara
Domínguez Jiménez, Juan Antonio
Contreras Ortiz, Sonia Helena
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9949
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9949
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11583/0000/Analysis-and-classification-of-lung-and-muscular-tissues-in-ultrasound/10.1117/12.2576368.short
- Palabra clave:
- Bioinformatics
Biological organs
Computerized tomography
Discrete wavelet transforms
Feature extraction
Histology
Image classification
Machine learning
Nearest neighbor search
Tissue
Ultrasonics
LEMB
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb