Content-based visual information retrieval (CBVIR) or content-based image retrieval (CBIR)
has been one on the most vivid research areas in the field of computer vision over the last …

Diagnostic radiology requires accurate interpretation of complex signals in medical images.
Content-based image retrieval (CBIR) techniques could be valuable to radiologists in …

The success of statistical machine learning (ML) methods made the field of Artificial
Intelligence (AI) so popular again, after the last AI winter. Meanwhile deep learning …

Computed tomography image (CTI) sequence is essentially a time‐series data that typically
consists of a large amount of nearby and similar CTIs. Due to the high communication and …

Recent advances in automatic machine learning (aML) allow solving problems without any
human intervention. However, sometimes a human-in-the-loop can be beneficial in solving …

Presents a review of 200 references in content-based image retrieval. The paper starts with
discussing the working conditions of content-based retrieval: patterns of use, types of …

Current computed tomography (CT) technology allows for near isotropic, submillimeter
resolution acquisition of the complete chest in a single breath hold. These thin-slice chest …

Segmentation of the object of interest is a difficult step in the analysis of digital images. Fully
automatic methods sometimes fail, producing incorrect results and requiring the intervention …

In many areas of commerce, government, academia, and hospitals, large collections of
digital images are being created. Many of these collections are the product of digitizing …

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 …