IMAGE ANALYSIS & STEREOLOGY: 2017 RESEARCH HIGHLIGHTS

Abstract

A detailed overview of the 22 contributions, published in volume 36 (2017) of Image Analysis & Stereology (IAS), is presented. Most of the contributions are relatively interdisciplinary, however, they can be assigned to the following fields of study: computer vision (2), image analysis (2), materials science (3), medical imaging (3), stereology (8) and stohastic geometry (2). In addition, two editorials were published, while four of the contributions in the field of stereology are review papers for the special topic "The History of Stereology". It can be concluded that the readership was offered with a large variety of topics within the broader multidisciplinary field of stereology and image analysis, therefore reflecting the scope of IAS.

Keywords

• computer vision
• image analysis
• materials science
• medical imaging
• research highlights
• stereology
• stohastic geometry