Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Making large-scale support vector machine learning practical
Advances in kernel methods
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Using human perceptual categories for content-based retrieval from a medical image database
Computer Vision and Image Understanding
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A General Framework for Object Detection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Discovering recurrent image semantics from class discrimination
EURASIP Journal on Applied Signal Processing
Combining intra-image and inter-class semantics for consumer image retrieval
Pattern Recognition
A structured learning approach to semantic photo indexing and query
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Bi-modal conceptual indexing for medical image retrieval
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
A structured visual learning approach mixed with ontology dimensions for medical queries
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
A semantic fusion approach between medical images and reports using UMLS
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Inter-media concept-based medical image indexing and retrieval With UMLS at IPAL
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
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Voluminous medical images are generated daily. They are critical assets for medical diagnosis, research, and teaching. To facilitate automatic indexing and retrieval of large medical image databases, we propose a structured framework for designing and learning vocabularies of meaningful medical terms associated with visual appearance from image samples. These VisMed terms span a new feature space to represent medical image contents. After a multi-scale detection process, a medical image is indexed as compact spatial distributions of VisMed terms. A flexible tiling (FlexiTile) matching scheme is proposed to compare the similarity between two medical images of arbitrary aspect ratios. We evaluate the VisMed approach on the medical retrieval task of the ImageCLEF 2004 benchmark. Based on 2% of the 8725 CasImage collection, we cropped 1170 image regions to train and validate 40 VisMed terms using support vector machines. The Mean Average Precision (MAP) over 26 query topics is 0.4156, an improvement over all the automatic runs in ImageCLEF 2004.