Effect of Speckle Filtering in the Performance of Segmentation of Ultrasound Images Using CNNs
The convolutional neural networks (CNNs) as tools for ultrasound image segmentation often have their performance affected by the low signal-to-noise ratio of the images. This prevents a correct classification and extraction of relevant information and therefore affects clinical diagnosis. We propose...
- Autores:
-
Romero-Mercado, Caleb D.
Contreraz-Ortiz, Sonia H.
Marrugo, Andres G.
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12161
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12161
- Palabra clave:
- Photoacoustic Tomography;
Thermoacoustics;
Echography
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/