Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
An Object-Oriented Fuzzy Data Model for Similarity Detection in Image Databases
IEEE Transactions on Knowledge and Data Engineering
Interactive content-based image retrieval using relevance feedback
Computer Vision and Image Understanding
iSearch: Mining Retrieval History for Content-Based Image Retrieval
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
PicHunter: Bayesian Relevance Feedback for Image Retrieval
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Learning Human Perceptual Concepts in a Fuzzy CBIR System
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
An Overview of Content-based Image Retrieval Techniques
AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Unified Log-Based Relevance Feedback Scheme for Image Retrieval
IEEE Transactions on Knowledge and Data Engineering
Image retrieval based on indexing and relevance feedback
Pattern Recognition Letters
Applying logistic regression to relevance feedback in image retrieval systems
Pattern Recognition
Graph-based representation for similarity retrieval of symbolic images
Data & Knowledge Engineering
SVM-based active feedback in image retrieval using clustering and unlabeled data
Pattern Recognition
Automatic medical image annotation and retrieval
Neurocomputing
Evaluation of shape similarity measurement methods for spine X-ray images
Journal of Visual Communication and Image Representation
Image Retrieval With Relevance Feedback Based on Graph-Theoretic Region Correspondence Estimation
IEEE Transactions on Multimedia
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Information Technology in Biomedicine
A Spine X-Ray Image Retrieval System Using Partial Shape Matching
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Which Components are Important for Interactive Image Searching?
IEEE Transactions on Circuits and Systems for Video Technology
Learning similarity measure for natural image retrieval with relevance feedback
IEEE Transactions on Neural Networks
Mammogram retrieval through machine learning within BI-RADS standards
Journal of Biomedical Informatics
Hi-index | 0.01 |
Managing large medical image databases has become a challenging task as more medical images are produced and stored in digital format. Computer-aided decision support for content-based image retrieval (CBIR) is an essential tool for medical image management. This paper presents a novel hybrid relevance feedback (RF) system for shape-based retrieval of spine X-ray images. A new shape similarity measure that considers both whole shape and partial shape matching is presented. The proposed RF architecture includes separate retrieval and feedback modes to solicit user's opinion for refining retrieval results. A unique short-term memory approach is implemented to avoid repeated request for user's feedback on the same, already approved, and retrieved relevant images. An automatic weight updating scheme is developed to present the images on which it is best for the user to provide feedback. Incorporating all these unique features, the proposed RF retrieval system is able to reduce the gap between high-level human visual perception and low-level computerized features. Experimental results show overall retrieval accuracy improvement of 22.0% and 17.5% after the second feedback iteration for retrieving spine X-ray images with similar osteophytes severity and type, respectively.