Turkmen H Irem, Karsligil M Elif, Kocak Ismail
Department of Computer Engineering, Yildiz Technical University, Istanbul, Turkey.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:6251-4. doi: 10.1109/EMBC.2012.6347423.
Extraction of vessel structures and the vessel features automatically forms an essential step for computer-aided diagnosis. Visible vessels of vocal folds become a diagnostic aid for vocal fold pathologies by publication of limited number of researches which analyze the effects of vocal fold pathologies on visual characteristics of blood vessels. In this paper we present a novel system that extracts blood vessels centerlines on vocal folds images and detects pathologically altered vocal folds exploiting visual characteristics of vessels.
血管结构和血管特征的提取自动成为计算机辅助诊断的关键步骤。通过有限数量的研究发表，声带可见血管成为声带病变的诊断辅助手段，这些研究分析了声带病变对血管视觉特征的影响。在本文中，我们提出了一种新颖的系统，该系统可提取声带图像上的血管中心线，并利用血管的视觉特征检测病理改变的声带。
