ASSERT: a physician-in-the-loop content-based retrieval system for HRCT image databases
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic Medical Image Annotation and Retrieval Using SECC
CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Concept based interactive retrieval for social environment
Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access
Directional Binary Wavelet Patterns for Biomedical Image Indexing and Retrieval
Journal of Medical Systems
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The next generation of medical information system will integrate multimedia data to assist physicians in clinical decision-making, diagnoses, teaching, and research. This paper describes MIARS (Medical Image Annotation and Retrieval System). MIARS not only provides automatic annotation, but also supports text based as well as image based retrieval strategies, which play important roles in medical training, research, and diagnostics. The system utilizes three trained classifiers, which are trained using training images. The goal of these classifiers is to provide multi-level automatic annotation. Another main purpose of the MIARS system is to study image semantic retrieval strategy by which images can be retrieved according to different levels of annotation.