The increasing utilization of medical imaging technology with digital storage capabilities has
facilitated the compilation of large-scale data repositories. Fast access to image samples …

A content-based image retrieval (CBIR) framework for diverse collection of medical images
of different imaging modalities, anatomic regions with different orientations and biological …

In recent years, we have witnessed a massive growth in the generation of images on the
cyberspace which demands to develop automated solutions for effective content …

Diagnostic radiology requires accurate interpretation of complex signals in medical images.
Content-based image retrieval (CBIR) techniques could be valuable to radiologists in …

Content-based image retrieval (CBIR) is a search technique based on the similarity of visual
features and has demonstrated potential benefits for medical diagnosis, education, and …

Background The majority of current medical CBIR systems perform retrieval based only on
“imaging signatures” generated by extracting pixel-level quantitative features, and only …

In this paper, we describe an approach to content-based retrieval of medical images from a
database, and provide a preliminary demonstration of our approach as applied to retrieval of …

Abstract Content-based Image Retrieval (CBIR) aids radiologist to identify similar medical
images in recalling previous cases during diagnosis. Although several algorithms have …

This note summarizes methodologies employed in our submissions for the medical retrieval
subtask of 2012 ImageCLEF competition. Our work aims to provide a systematic comparison …

Nearest neighbor search, also known as NNS, is a technique used to locate the points in a
high-dimensional space closest to a given query point. This technique has multiple …