Research Article
Patch-Based Categorization and Retrieval of Medical Images
202 downloads
@INPROCEEDINGS{10.1007/978-3-642-35615-5_54, author={Zarina Sulthana and Supreethi K.P.}, title={Patch-Based Categorization and Retrieval of Medical Images}, proceedings={Third International conference on advances in communication, network and computing}, proceedings_a={CNC}, year={2012}, month={12}, keywords={Mining Medical Images Categorization Patch-based visual words K-means clustering Image Retrieval Region-of-Interest}, doi={10.1007/978-3-642-35615-5_54} }- Zarina Sulthana
Supreethi K.P.
Year: 2012
Patch-Based Categorization and Retrieval of Medical Images
CNC
Springer
DOI: 10.1007/978-3-642-35615-5_54
Abstract
Utilization of the mining techniques in aiding the medical diagnosis by processing the medical images, Chest X-Rays in particular. The process involves - categorization of the images using patch-based visual words, collection into clusters using K-means clustering, and Image retrieval, involving comparison of the input image with the images in the dataset and retrieving the matched images along with the appropriate diagnosis associated with that particular medical case. If there is no data matching then this would be added to the existing database thus aiding the diagnosis of other such cases that might come up in the future. The retrieval may also be done based on Region-of-Interest (ROI).
Copyright © 2012–2024 ICST
