Automated Retrieval of CT Images of Liver Lesions on the Basis of Image Similarity: Method and Preliminary Results | Zendy

Sandy Napel | Zendy; Christopher F. Beaulieu | Zendy; César Rodríguez | Zendy; Jingyu Cui | Zendy; Jiajing Xu | Zendy; Ankit Gupta | Zendy; Daniel Korenblum | Zendy; Hayit Greenspan | Zendy; Yongjun Ma | Zendy; Daniel L. Rubin | Zendy

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Automated Retrieval of CT Images of Liver Lesions on the Basis of Image Similarity: Method and Preliminary Results

Author(s) -

Sandy Napel,

Christopher F. Beaulieu,

César Rodríguez,

Jingyu Cui,

Jiajing Xu,

Ankit Gupta,

Daniel Korenblum,

Hayit Greenspan,

Yongjun Ma,

Daniel L. Rubin

Publication year - 2010

Publication title -

radiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.118

H-Index - 295

eISSN - 1527-1315

pISSN - 0033-8419

DOI - 10.1148/radiol.10091694

Subject(s) - medicine , similarity (geometry) , artificial intelligence , basis (linear algebra) , computer vision , image retrieval , image (mathematics) , pattern recognition (psychology) , radiology , nuclear medicine , mathematics , geometry , computer science

To develop a system to facilitate the retrieval of radiologic images that contain similar-appearing lesions and to perform a preliminary evaluation of this system with a database of computed tomographic (CT) images of the liver and an external standard of image similarity.

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