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

机译:低剂量CT图像中基于活动轮廓模型(无边缘)的肺结节检测

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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,肺癌占癌症死亡的很大一部分。如果能及早发现,可以减少和减少给定人群中因癌症引起的死亡。计算机辅助检测(CAD)是使肺癌结节的早期检测成为可能的过程。本文介绍了通过提出的CAD算法(无边缘的主动轮廓模型)获得的结果,用于肺结节的检测。对获得的CT图像进行预处理,分割并检测肺结节。精度达到了91.5%。

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