This paper describes a new hierarchical approach to content-based image retrieval called
the" customized-queries" approach (CQA). Contrary to the single feature vector approach …

Content-based image retrieval (CBIR) refers the ability to retrieve images on the basis of
image content. Given a query image, the goal of a CBIR system is to search the database …

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 …

Similarity measurement of lung nodules is a critical component in content-based image
retrieval (CBIR), which can be useful in differentiating between benign and malignant lung …

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

Visual information of similar nodules could assist the budding radiologists in self-learning.
This paper presents a content-based image retrieval (CBIR) system for pulmonary nodules …

In this paper, we take advantage of single-valued functions that evaluate rankings to
develop a family of feature selection methods based on the genetic algorithm approach …

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 …

Database search engines are generally used in a one-shot fashion in which a user provides
query information to the system and, in return, the system provides a number of database …

We describe a self-organizing framework for content-based retrieval of images from large
image databases at the object recognition level. The system uses the theories of optimal …