Baseline results for the CLEF 2007 medical automatic annotation task

CEUR Workshop Proceedings

Volumn 1173, Issue , 2007, Pages

  Güld, Mark O ^a   Deserno, Thomas M ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Classifier combination; Content based image retrieval; Pattern recognition

Indexed keywords

ALGORITHMS; CONTENT BASED RETRIEVAL; IMAGE RETRIEVAL; PATTERN RECOGNITION;

AUTOMATIC ANNOTATION; BASELINE RESULTS; CLASSIFICATION ACCURACY; CLASSIFIER COMBINATION; CLASSIFIER DECISIONS; CONTENT BASED IMAGE RETRIEVAL; EVALUATION SCHEME; NEAREST-NEIGHBOR APPROACHES;

DIGITAL LIBRARIES;

EID: 84921997255     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Lehmann TM, Schubert H, Keysers D, Kohnen M, Wein BB. The IRMA code for unique classification of medical images. Procs SPIE 2003; 5033: 109-117
2. Müller H, Deselaers T, Kim E, Kalpathy-Cramer J, Deserno TM. Overview of the Image-CLEFmed 2007 Medical Retrieval and Annotation Tasks. Working Notes of the 2007 CLEF Workshop (in this book)
3. Lehmann TM, Güld MO, Thies C, Fischer B, Spitzer K, Keysers D, Ney H, Kohnen M, Schubert H,Wein BB. Content-based image retrieval in medical applications.Methods of Information in Medicine 2004; 43(4): 354-361
4. Tamura H, Mori S, Yamawaki T. Textural features corresponding to visual perception. IEEE Transactions on Systems, Man and Cybernetics 1978; 8(6): 460-73
5. Keysers D, Dahmen J, Ney H, Wein BB, Lehmann TM. A statistical framework for modelbased image retrieval in medical applications. Journal of Electronic Imaging 2003; 12(1): 59-68