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 …

The size of medical image repositories is continuously growing due to the widespread use of
digital imaging data in hospitals. This overlays the way for more medical records to be stored …

In medical applications, retrieving similar images from repositories is most essential for
supporting diagnostic imaging-based clinical analysis and decision support systems …

Closing the semantic gap in medical image analysis is critical. Access to large-scale
datasets might help to narrow the gap. However, large and balanced datasets may not …

The collections of various digital image databases have significantly grown and many users
have recognized that finding and recovering important images from large collections is a …

In medical imaging, modality refers to the technique and process used to create visual
representations of a particular part of the body, organs, or tissues. Conventional modalities …

A wide range of imaging techniques and data formats available for medical images make
accurate retrieval from image databases challenging. Efficient retrieval systems are crucial …

Content Based Medical Image Retrieval (CBMIR) is a technique that search relevant images
in large repositories according to the content of the query image which is based on selected …

Abstract Systems for retrieving and managing content-based medical images are becoming
more important, especially as medical imaging technology advances and the medical image …

Abstract Content-Based Image Retrieval is an accurate characterization of visual information
used for medical and natural image classification, retrieval, face recognition, etc. In recent …