Content-based image retrieval (CBIR) techniques have currently gained increasing
popularity in the medical field because they can use numerous and valuable archived …

In medical imaging, the characteristics purely derived from a disease should reflect the
extent to which abnormal findings deviate from the normal features. Indeed, physicians often …

This paper presents an automatic content-based image retrieval (CBIR) system for brain
tumors on T1-weighted contrast-enhanced magnetic resonance images (CE-MRI). The key …

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

The aging population and the growing amount of medical data have increased the need for
automated tools in the neurology departments. Although the researchers have been …

Medical imaging is fundamental to modern healthcare, and its widespread use has resulted
in the creation of image databases, as well as picture archiving and communication systems …

Medical imaging is becoming a vital component of war on cancer. Tremendous amounts of
medical image data are captured and recorded in a digital format during cancer care and …

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 …

In this paper, we describe the design and development of a multitiered content-based image
retrieval (CBIR) system for microscopic images utilizing a reference database that contains …

Over the past decades, medical image analytics was greatly facilitated by the explosion of
digital imaging techniques, where huge amounts of medical images were produced with …