  Cerebral microbleeds detection is an important and challenging task. With the
gaining popularity of the MRI, the ability to detect cerebral microbleeds also
raises. Unfortunately, for radiologists, it is a time-consuming and laborious
procedure. For this reason, various solutions to automate this process have
been proposed for several years, but none of them is currently used in medical
practice. In this context, the need to systematize the existing knowledge and
best practices has been recognized as a factor facilitating the imminent
synthesis of a real CMBs detection system practically applicable in medicine.
To the best of our knowledge, all available publications regarding automatic
cerebral microbleeds detection have been gathered, described, and assessed in
this paper in order to distinguish the current research state and provide a
starting point for future studies.
