The comparison of algorithms on the CT image retrieval of Xinjiang local liver hydatid disease / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 942-945, 2013.
Article
Dans Chinois
| WPRIM
| ID: wpr-352136
ABSTRACT
Xinjiang local liver hydatid disease is an infectious parasitic disease in Xinjiang pastoral areas. Based on the image features, selecting the appropriate distance algorithms to retrieve the image quickly and accurately, different distance algorithms have been induced in this area, which can greatly assist the doctors to early detect, diagnose and cure the liver hydatid disease. This paper compared the performance of different distance algorithms to retrieve the image when using the liver hydatid disease medical image texture features. The results showed that for the liver hydatid disease medical images retrieval based on gray level cocurrence matrix (GLCM) texture features, the Mahalanobis distance algorithm is superior to other distance algorithms.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Algorithmes
/
Traitement d'image par ordinateur
/
Imagerie diagnostique
/
Tomodensitométrie
/
Chine
/
Bases de données factuelles
/
Mémorisation et recherche des informations
/
Échinococcose hépatique
/
Méthodes
Type d'étude:
Etude diagnostique
Limites du sujet:
Humains
Pays comme sujet:
Asie
langue:
Chinois
Texte intégral:
Journal of Biomedical Engineering
Année:
2013
Type:
Article
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