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» Variation of Relevance Assessments for Medical Image Retriev...
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CBMS
2003
IEEE
13 years 11 months ago
Retrieval by Content of Medical Images Using Texture for Tissue Identification
This work aims at supporting the retrieval and indexing of medical images by extracting and organizing intrinsic features of them, more specifically texture attributes from images...
Joaquim Cezar Felipe, Agma J. M. Traina, Caetano T...
ESWA
2008
127views more  ESWA 2008»
13 years 6 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
SAMT
2007
Springer
203views Multimedia» more  SAMT 2007»
14 years 11 days ago
A Generic Framework for Semantic Medical Image Retrieval
Performing simple keyword-based search has long been the only way to access information. But for a truly comprehensive search on multimedia data, this approach is no longer sucien...
Manuel Möller, Michael Sintek
VLC
2008
178views more  VLC 2008»
13 years 6 months ago
An exploration of diversified user strategies for image retrieval with relevance feedback
Given the difficulty of setting up large-scale experiments with real users, the comparison of content-based image retrieval methods using relevance feedback usually relies on the ...
Michel Crucianu, Jean-Philippe Tarel, Marin Fereca...
CLEF
2007
Springer
14 years 13 days ago
Using Pseudo-Relevance Feedback to Improve Image Retrieval Results
In this paper, we propose a pseudo-relevance feedback method to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...