A perceptual similarity method by pairwise comparison in a medical image case

被引：8

作者：

Luisa Duran, M. ^{[1
]}

Rodriguez, Pablo G. ^{[1
]}

Pablo Arias-Nicolas, J. ^{[1
]}

Martin, Jacinto ^{[2
]}

Disdier, Carlos ^{[3
]}

机构：

[1] Escuela Politecn, Caceres 10071, Spain

[2] Fac Ciencias, Badajoz 06071, Spain

[3] Hosp San Pedro de Alcantara, Caceres 10003, Spain

来源：

MACHINE VISION AND APPLICATIONS | 2010年 / 21卷 / 06期

关键词：

Computer vision; CBIR; Logistic regression; Computer-aided diagnosis; Similarity; CONTENT-BASED RETRIEVAL; DIAGNOSIS; TEXTURE; MASSES; SYSTEM;

D O I：

10.1007/s00138-009-0201-3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The evolution of image techniques in medicine has improved decision making based on physicians' experience by means of computer-aided diagnosis (CAD). This paper focuses on the development of content-based image retrieval (CBIR) and CAD techniques applied to bronchoscopies and according to different pathologies. A novel pairwise comparison method based on binary logistic regression is developed to determine those images must alike to a new image from incomplete property information, after accounting for the physicians' appreciation of the image similarity. This method is particularly useful when problems with both a large number of features and few images are involved.

引用

页码：865 / 877

页数：13

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