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» The CLEF 2005 Automatic Medical Image Annotation Task
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CLEF
2008
Springer
14 years 11 months ago
Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval
In this article, we focus our efforts (i) on the study of how to automatically extract and exploit visual concepts and (ii) on fast visual diversity. First, in the Visual Concept D...
Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tab...
ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Combining Textual and Visual Ontologies to Solve Medical Multimodal Queries
In order to solve medical multimodal queries, we propose to split the queries in different dimensions using ontology. We extract both textual and visual terms depending on the ont...
Saïd Radhouani, Joo-Hwee Lim, Jean-Pierre Che...
ECIR
2009
Springer
15 years 6 months ago
Exploiting Visual Concepts to Improve Text-Based Image Retrieval
In this paper, we study how to automatically exploit visual concepts in a text-based image retrieval task. First, we use Forest of Fuzzy Decision Trees (FFDTs) to automatically ann...
Sabrina Tollari, Marcin Detyniecki, Christophe Mar...
MICCAI
2007
Springer
15 years 10 months ago
Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree
Abstract. Automatic delineation and robust measurement of fetal anatomical structures in 2D ultrasound images is a challenging task due to the complexity of the object appearance, ...
Gustavo Carneiro, Bogdan Georgescu, Sara Good, Dor...
ISBI
2008
IEEE
15 years 10 months ago
Landmark selection for shape model construction via equalization of variance
Model-based segmentation approaches, such as those employing Active Shape Models (ASMs), have proved to be useful for medical image segmentation and understanding. To build the mo...
Sylvia Rueda, Jayaram K. Udupa, Li Bai