Multimodal medical image retrieval: OHSU at ImageCLEF 2008

CEUR Workshop Proceedings

Volumn 1174, Issue , 2008, Pages

  Kalpathy Cramer, Jayashree ^a   Bedrick, Steven ^a   Hatt, William ^a   Hersh, William ^a  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

Image classification; Image retrieval; Medical imaging; Performance evaluation

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIGITAL LIBRARIES; IMAGE RETRIEVAL; INFORMATION RETRIEVAL; LEARNING ALGORITHMS; LEARNING SYSTEMS; MEDICAL IMAGING; NATURAL LANGUAGE PROCESSING SYSTEMS; RUBY; SEARCH ENGINES; SEMANTICS; SOCIAL NETWORKING (ONLINE); SUPERVISED LEARNING;

FULL-TEXT INDEX; LATENT SEMANTIC ANALYSIS; MULTIMODAL MEDICAL IMAGES; NATURAL LANGUAGE PROCESSING; PERFORMANCE EVALUATION; SUPERVISED MACHINE LEARNING; UMLS METATHESAURUS; WEB-BASED RETRIEVAL SYSTEMS;

IMAGE CLASSIFICATION;

EID: 84921969842     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Hersh, W, Muller H, et al. Advancing biomedical image retrieval: development and analysis of a test collection. J. Am. Med. Inform. Assoc. 13(5), 488-96, (2006)
2. Smeulders AWM, Worring M et al. Content-Based Image Retrieval at the End of the Early Years, IEEE Transactions on Pattern Analysis and Machine Intelligence 22(12), 1349-1380, (2000)
3. Tagare HD, Jaffe C et al, Medical Image Databases: A Content-Based Retrieval Approach, J. Am. Med. Inform. Assoc. 4(3):184-198, (1997)
4. Aisen AM, Broderick LS, et al, Automated storage and retrieval of thin-section CT images to assist diagnosis: System description and preliminary assessment, Radiology, 228, 265-270, (2003)
5. Schmid-Saugeon P, Guillod J, et al, Towards a computer-aided diagnosis system for pigmented skin lesions, Computerized Medical Imaging and Graphics 27, 65-78, 2003.
6. Müller H, Michoux N, Bandon D, Geissbuhler A, A review of content-based image retrieval systems in medicine - clinical benefits and future directions, Int. J. Med. Inform., 73, 1-23, (2004)
7. Hersh W, Kalpathy-Cramer J, et al. Medical image retrieval and automated annotation: OHSU at ImageCLEF 2006, Springer Lecture Notes in Computer Science (LNCS), 660-669, (2006)
8. Kalpathy-Cramer J, Hersh W, Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval, MedInfo 2007, Brisbane, Australia, 1334-1338, (2007)
9. Braschler M, Peters C. Cross-language evaluation forum: objectives, results, achievements. Inform Retriev (7) 7-31 (2004)
10. Müller H, Deselaers T, Lehmann T, Clough P, Hersh W, Overview of the ImageCLEFmed 2006 medical retrieval annotation tasks, Evaluation of Multilingual and Multi-modal Information Retrieval, Seventh Workshop of the Cross-Language Evaluation Forum, CLEF 2006, LNCS, Alicante, Spain, 595-608, (2006)
11. Müller H, Clough P, et al, Evaluation Axes for Medical Image Retrieval Systems - The ImageCLEF Experience, ACM Int. Conf. on Multimedia, Singapore, November, (2005)
12. Florea F, Müller H, Rogozan A, Geissbühler A, Darmoni S. Medical image categorization with MedIC and MedGIFT. Medical Informatics Europe (MIE 2006)
13. Smith L, Rindflesch T, Wilbur W, MedPost: a part-of-speech tagger for biomedical text Bioinformatics 20(14), (2004)
14. Oliva, A, Torralba, A, Modeling the shape of the scene: a holistic representation of the spatial envelope, Int. J. Computer Vision, 42(3):145-175, (2001)
15. Nabney IT, Netlab: Algorithms for Pattern Recognition. London, England: Springer-Verlag. (2004)
16. Lowe DG, Distinctive image features from scale-invariant keypoints, Int. J. of Computer Vision, 60(2):91-110, (2004)
17. Furnas G, Deerwester S, Dumais S, Landauer T, Harshman R, Streeter L, Lochbaum K. Information retrieval using a singular value decomposition model of latent semantic structure. SIGIR'88: Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval (1988)