Abstract
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.
Abstract (translated)
脑血凝检测是一项重要且具有挑战性的任务。随着MRI技术的普及,检测脑血凝的能力也越来越强。不幸的是,对于医学影像学师来说,这是一种耗时且繁琐的程序。因此,过去几年里,多种自动化该过程的解决方案被提出,但 none 目前还在临床上使用。在这个背景下,需要将现有知识和最佳实践系统地梳理成一种能够促进在实际医疗中应用的真正脑血凝检测系统的因素。据我们所知,本文收集、描述了和评估了所有可用的关于自动脑血凝检测的研究文献,以区分当前的研究状态并为未来的研究提供一个起点。
URL
https://arxiv.org/abs/2301.13549
