Karargyris Alexandros, Antani Sameer, Thoma George
US National Library of Medicine, National Institutes of Health Bethesda, MD, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:7779-82. doi: 10.1109/IEMBS.2011.6091917.
In this paper we describe the development of a screening system for pulmonary pathologies (i.e. pneumonia, tuberculosis) application in global healthcare settings. As a first step toward this goal, the paper presents a novel approach for detecting lungs and ribs in chest radiographs. The approach is a unified method combining two detection schemes resulting in reduced cost. The novelty of our approach lies on the fact that instead of using pixel-wise techniques exclusively we used region-based features computed as wavelet features that take into consideration the orientation of anatomic structures. Initial results are described. Next steps include classification of non-rib lung regions for radiographic patterns suggesting tuberculosis infection.
在本文中，我们描述了一种用于肺部疾病（即肺炎、肺结核）筛查系统在全球医疗环境中的开发情况。作为朝着这一目标迈出的第一步，本文提出了一种在胸部X光片中检测肺部和肋骨的新方法。该方法是一种将两种检测方案相结合的统一方法，从而降低了成本。我们方法的新颖之处在于，我们并非仅使用逐像素技术，而是使用了基于区域的特征，这些特征被计算为小波特征，其中考虑了解剖结构的方向。文中描述了初步结果。后续步骤包括对非肋骨肺部区域进行分类，以识别表明肺结核感染的放射学模式。
