Medical imaging performs a vital role in the medical field as it provides important information
on the internal body parts for the clinical analysis and medical intervention which enables …

With the development of multimedia data types and available bandwidth there is huge
demand of video retrieval systems, as users shift from text based retrieval systems to content …

Aim: Medicine is deeply depending on medical images. Medical professionals used medical
images particularly digital medical images for education, research and clinical decisions …

The massive generation of data has raised new research topics, such as methods to store
and to retrieve large volumes of information. Some medical image modalities, such as …

The structure and appearance of the blood vessel network in retinal fundus images is an
essential part of diagnosing various problems associated with the eyes, such as diabetes …

Texture feature is one of most important feature analysis methods in the computer-aided
diagnosis (CAD) systems for disease diagnosis. In this paper, we propose a Uniformity …

Texture enhancement for medical images is the most important technique in medical image
diagnosis. This paper introduces a texture enhancement technique for medical images by …

Publisher Summary This chapter introduced content-based image retrieval (CBIR) and its
key components. CBIR methods support full retrieval by visual content/properties of images …

Goal: We present a model-based feature augmentation scheme to improve the performance
of a learning algorithm for the detection of cardiac radio-frequency ablation (RFA) targets …

Content-based image retrieval (CBIR) makes use of image features, such as color and
texture, to index images with minimal human intervention. Content-based image retrieval …