A structured visual learning approach mixed with ontology dimensions for medical queries

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4022 LNCS, Issue , 2006, Pages 642-651

  Chevallet, Jean Pierre ^a,d   Lim, Joo Hwee ^b   Radhouani, Saïd ^c,d  

^a Institute for Inforcomm Research   (Singapore)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^c UNIVERSITY OF GENEVA   (Switzerland)

^d UNIV GRENOBLE ALPES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; IMAGE ANALYSIS; INDEXING (OF INFORMATION); MEDICAL PROBLEMS; QUERY LANGUAGES; TEXT PROCESSING;

IMAGE INDEXING; MEDICAL DOCUMENTS; MEDICAL QUERIES; ONTOLOGY;

LEARNING SYSTEMS;

EID: 33749612858     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11878773_71     Document Type: Conference Paper

References (5)

1. Lim, J., Jin, J.: A structured learning framework for content-based image indexing and visual query. Multimedia Systems Journal 10 (2005) 317-331
2. Lim, J., Chevallet, J.P.: Vismed: a visual vocabulary approach for medical image indexing and retrieval. In: Proc. of AIRS 2005. (2005) 84-96
3. Guyot, J., Radhouani, S., Falquet, G.: Ontology-based multilingual information retrieval. In: CLEF Workhop, Working Notes Multilingual Track, Vienna, Austria. (2005)
4. Schmid, H.: Probabilistic part-of-speech tagging using decision trees. In: Proceedings of International Conference on New Methods in Language Processing. (1994)
5. Chevallet, J.P.: X-iota: An open xml framework for ir experimentation application on multiple weighting scheme tests in a bilingual corpus. Lecture Notes in Computer Science (LNCS), AIRS'04 Conference Beijing 3211 (2004) 263-280