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Active Contour Model (without edges) based Pulmonary Nodule Detection in Low Dose CT images

机译:低剂量CT图像中基于活性轮廓模型(无边缘)基于肺结核检测

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Among the various types of cancer, lung cancer forms a significant portion of cancer deaths. The deaths due to cancer can be reduced and minimized in a given population if it is detected early. Computer Aided Detection (CAD) is a process by which early detection of lung cancer nodules has been made possible. This paper presents the results obtained by the proposed CAD algorithm (Active Contour Model without edges) for the detection of lung nodules. The CT images obtained are preprocessed, segmented and the lung nodules are detected. An accuracy of 91.5% has been achieved.
机译:在各种类型的癌症中,肺癌形成了一部分癌症死亡。如果早期检测到,可以减少癌症引起的死亡并且在给定的人群中最小化。计算机辅助检测(CAD)是一种过程,通过其提前检测肺癌结节。本文介绍了所提出的CAD算法(无需边缘的有源轮廓模型)获得的结果,用于检测肺结节。获得的CT图像是预处理的,分段并检测肺结节。已经实现了91.5%的准确性。

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