A technology research for diagnosis of mammographic masses based on content-based image retrieval / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 999-1003, 2010.
Artículo
en Chino
| WPRIM
| ID: wpr-230739
ABSTRACT
In order to assist doctors in making the diagnosis of mammographic masses, a method is proposed in this paper. Twenty-two features are extracted from each queried region of interest (ROI). A k-nearest neighbor (KNN) algorithm is used to retrieve similar images from database, and further calculate the mutual information (MI) between the queried image and the images which are in the retrieval results, so as to improve the retrieval performance. Finally, the scheme takes the first nine images with the highest MI scores as the final retrieval results. With the purpose of providing available decision-making information of diagnostic aids, we compare and analyze three calculating methods of decision index. The experiment results show that this method is better than the method using KNN only, and this method improves the accuracy of diagnosis effectively.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Algoritmos
/
Neoplasias de la Mama
/
Diagnóstico por Imagen
/
Mamografía
/
Interpretación de Imagen Radiográfica Asistida por Computador
/
Bases de Datos Factuales
/
Almacenamiento y Recuperación de la Información
/
Métodos
Tipo de estudio:
Estudio diagnóstico
/
Estudio pronóstico
Límite:
Femenino
/
Humanos
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2010
Tipo del documento:
Artículo
Similares
MEDLINE
...
LILACS
LIS