The use of machine learning (ML) has been increasing rapidly in the medical imaging field,
including computer-aided diagnosis (CAD), radiomics, and medical image analysis …

Computer-aided diagnosis (CAD) has become one of the major research subjects in
medical imaging and diagnostic radiology. In this article, the motivation and philosophy for …

The roles of physicists in medical imaging have expanded over the years, from the study of
imaging systems (sources and detectors) and dose to the assessment of image quality and …

Similarity measurement is a critical component in content-based image retrieval systems,
and learning a good distance metric can significantly improve retrieval performance …

The enormous growth in the field of biotechnology necessitates the utilization of information
technology for the management, flow and organization of data. The field continues to evolve …

Machine learning (ML) plays an important role in the medical imaging field, including
medical image analysis and computer‐aided diagnosis, because objects such as lesions …

Textural features can be useful in differentiating between benign and malignant breast
lesions on mammograms. Unlike previous computerized schemes, which relied largely on …

The purpose of this study was to develop and test a method for selecting “visually similar”
regions of interest depicting breast masses from a reference library to be used in an …

The purpose of this study was to evaluate image similarity measures employed in an
information‐theoretic computer‐assisted detection (IT‐CAD) scheme. The scheme was …

This paper describes part of content-based image retrieval (CBIR) system that has been
developed for mammograms. Details are presented of methods implemented to derive …