Improving the ranking quality of medical image retrieval using a genetic feature selection method-Reference-Cited by-同舟云学术

Improving the ranking quality of medical image retrieval using a genetic feature selection method

Published:2011-11 Issue:4 Volume:51 Page:810-820
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

da Silva Sérgio Francisco,Ribeiro Marcela Xavier,Batista Neto João do E.S.,Traina-Jr. Caetano,Traina Agma J.M.

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference41 articles.

1. Automated storage and retrieval of thin-section CT images to assist diagnosis: system description and preliminary assessment;Aisen;Radiology,2003

2. A feature selection technique for generation of classification committees and its application to categorization of laryngeal images;Bacauskienea;Pattern Recognition,2009

3. Modern information retrieval;Baeza-Yates,1999

4. Optimizing similarity using multi-query relevance;Bartell;Journal of the American Society for Information Science,1998

5. When is “nearest neighbour” meaningful?;Beyer,1999

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