One of the major requirements of content based image retrieval (CBIR) systems is to ensure
meaningful image retrieval against query images. The performance of these systems is …

Content based image retrieval (CBIR) systems provide potential solution of retrieving
semantically similar images from large image repositories against any query image. The …

Content based image retrieval is highly relevant in medical imaging, since it makes vast
amounts of imaging data accessible for comparison during diagnosis. Finding image …

Background The development of digital imaging technology is creating extraordinary levels
of accuracy that provide support for improved reliability in different aspects of the image …

Due to the enormous increase in the image repositories and multimedia data, the need for
exploring them in an automatic way has aroused to explore the new horizons of research in …

Computer‐aided diagnostic (CAD) systems provide fast and reliable diagnosis for medical
images. In this paper, CAD system is proposed to analyze and automatically segment the …

We have created a content-based image retrieval framework for computed tomography
images of pulmonary nodules. When presented with a nodule image, the system retrieves …

Background We describe a suite of tools and methods that form a core set of capabilities for
researchers and clinical investigators to evaluate multiple analytical pipelines and quantify …

Content-based image retrieval (CBIR) systems provide a potential solutions of retrieving
semantically similar images from large image repositories against any query image. The …

This research work explores the Content-Based Medical Image Retrieval system (CBMIR) to
categorization and retrieval of different types of common thoracic diseases such as …