Abstract

Spontaneous intracerebral hemorrhage (ICH) is a common cause of stroke, due to this; the early evolution and quantitative analysis of the ICH is important for the treatment and the course of patient’s recovery. Computer-based diagnosis systems have played an important role in quantitative analysis of medical images aiding medical personnel in selecting the appropriated treatment of diseases. This paper outlines a set of three methods for ICH segmentation and tracking from computer tomography (CT) head images, based on a suitable combination of digital image processing and pattern recognition techniques. Two of these methods are carried out in a semiautomatic way and the other one is performed in a manual way. Methods developed were tested successfully by medical researchers in a representative dataset of CT head images (patient studies).

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.