computer aided engineering; computerised tomography; fuzzy set theory; image classification; image segmentation; lung; medical image processing; pattern clustering; AFCM technology; Mahalanobis distance; adaptive fuzzy C-means technology; candidate nodules; chest CT images; lung parenchyma extraction; masking processing; neighborhood connected technology; pulmonary nodule computer-aided detection system; pulmonary nodule identification; rough segmentation; testing nodule classification; testing part; thresholding processing; training nodule clustering; training part; training phase; Cancer; Computed tomography; Feature extraction; Lungs; Sensitivity; Testing; Training; adaptive fuzzy C-Means; false positive reduction; nodule detection; region grow;
机译:基于胸部断层合成成像的计算机辅助检测系统的价值检测肺结核
机译:计算机辅助检测可改善胸部X线片中肺结节的检测,超出了骨骼抑制图像的支持范围
机译:利用区域增长和自适应模糊C-均值聚类的新的肺结节检测方案
机译:基于自适应模糊C-均值技术的胸部CT图像肺结节计算机辅助检测系统
机译:基于LS-SVM和小波变换的计算机辅助肺CT结节诊断系统。
机译:基于三维CT图像的肺结节新型计算机辅助检测系统的临床应用
机译:基于胸部断层合成成像的计算机辅助检测系统的价值检测肺结核