feature extraction; image classification; image segmentation; lung; medical image processing; visual databases; CAD models; computer-aided diagnosis systems; expert-sourced segmentation; image feature extraction; lung image database consortium dataset; lung nodule classification; machine-sourced segmentation; outlier detection algorithm; semantic ratings; Accuracy; Cancer; Design automation; Feature extraction; Image segmentation; Lungs; Semantics; computer-aided diagnosis; crowd-sourcing; lung cancer; machine-sourced; segmentation;
机译:基于模糊C均值聚类的肺结节分割和CNN分类
机译:LNCDS:肺结结分类,检测和分割的2D-3D级联CNN方法
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机译:基于模糊C均值聚类的肺结节分割和CNN分类
机译:使用最佳特征使用语义分割和分类进行结核检测