IRM: integrated region matching for image retrieval
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
SSVM: A Smooth Support Vector Machine for Classification
Computational Optimization and Applications
Matching and Retrieval of Distorted and Occluded Shapes Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
A reference ontology for biomedical informatics: the foundational model of anatomy
Journal of Biomedical Informatics - Special issue: Unified medical language system
A bootstrapping framework for annotating and retrieving WWW images
Proceedings of the 12th annual ACM international conference on Multimedia
Efficient Image Matching with Distributions of Local Invariant Features
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
RxNorm: Prescription for Electronic Drug Information Exchange
IT Professional
Two-scale image retrieval with significant meta-information feedback
Proceedings of the 13th annual ACM international conference on Multimedia
Efficient top-k hyperplane query processing for multimedia information retrieval
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Real-Time Computerized Annotation of Pictures
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Information Technology in Biomedicine
Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
Journal of Biomedical Informatics
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Images represent an important aspect of the entire medical knowledge. Health illustrations and photos are essential for patient education and self-care. Currently there is few effort in automatically building comprehensive image bases for general health information consumers. We present an approach to automatically construct a consumer-oriented image library containing images of human organs, diseases, drugs and other medical entities. Such an image library can then be annotated with standard medical ontologies such as the FMA [26] and RxNorm [20], creating a rich information resource for illustration and educational purposes. As a first step in constructing such an image library, we present a semi-supervised bootstrapping classification method to retrieve relevant images from the web for given medical terms. Our method uses one positive image (for each term) as a seed and iteratively searches for images that are visually similar to the seed. We have conducted experiments in classifying web images for seven organs, four diseases and four drug tablets. We achieved average precisions of 62.4% and 66.8% for organ and drug images, which are comparable to those of a supervised classification method based on standard support vector machine (SVM) (precisions of 59.5% and 56.7%), while requiring minimum human intervention.