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.
Article
Dans Chinois
| 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.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Algorithmes
/
Tumeurs du sein
/
Imagerie diagnostique
/
Mammographie
/
Interprétation d'images radiographiques assistée par ordinateur
/
Bases de données factuelles
/
Mémorisation et recherche des informations
/
Méthodes
Type d'étude:
Etude diagnostique
/
Étude pronostique
Limites du sujet:
Femelle
/
Humains
langue:
Chinois
Texte intégral:
Journal of Biomedical Engineering
Année:
2010
Type:
Article
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