Automatic method for detecting specular reflection and motion blur artifacts on endoscopic images using complementary binary classifiers
Computer Aided Diagnosis (CAD) tools have demonstrated high performance in the identification of gastrointestinal diseases through endoscopic images (EIs). However, such diagnostic support tools could be affected by image artifacts which may appear in real videos, making that precise artifact detect...
- Autores:
-
Tinoco, Nataly
Díaz, Daniela
Tarquino, Jonathan
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Universidad El Bosque
- Repositorio:
- Repositorio U. El Bosque
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unbosque.edu.co:20.500.12495/7065
- Palabra clave:
- Endoscopic images
Motion blur
Pattern recognition
Specular reflections
- Rights
- openAccess
- License
- Acceso abierto