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.

翻译：脑微出血检测是一项重要且具有挑战性的任务。随着磁共振成像（MRI）技术的广泛应用，脑微出血的检测能力也在不断提升。然而，对放射科医师而言，这一过程既耗时又费力。为此，多年来研究者们提出了多种自动化检测方案，但至今仍未有方法实际应用于临床实践。在此背景下，系统化现有知识与最佳实践的需求已被视为推动构建可实际应用于医学的真实脑微出血检测系统的重要因素。本文尽可能全面地收集、描述并评估了所有关于脑微出血自动检测的公开文献，旨在厘清当前研究现状，并为后续研究提供基础。