Automatic Classification Of Lung Nodules On MDCT Images With The Temporal Subtraction Technique
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Soft Computing Techniques Based Computer Aided System for
Noriaki Miyake et al  developed an automatic lung nodule detection system with sensitivity of 80.5% for lung nodules with sizes less than 20mm, and with 7.5 false positives per scan. This method used temporal subtraction based on artificial neural networks. Thoracic multi-detector-row computed tomography (MDCT) images
Lung nodule detection system - ijmter.com
factors, such as the malignancy classification of l ung nodules in CAD x for feature extraction. In section of paper we review various segmentation techniques for lung nodules from CT images. A. Thresholding (TH) Thresholding is the most simple and popular image s egmentation technique. It used to
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MURAKAMI, Takatoshi AOKI, Yasushi Hirano, Shoji Kido, Rie Tachibana: Detection of Lung Nodules on Temporal Subtraction Image from MDCT Images Using Statistical Features, 14th International Symposium on Advanced Intelligent Systems (ISIS2013), F3c-3, 2013.11.13-16, Pai Chai University, Daejeon, Korea 12.