...
机译:基于形态学,纹理和小波的自动肾细胞癌亚型分类
Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA;
Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA;
Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA;
Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA Biomedical Engineering, Winship Cancer Institute, Georgia Institute of Technology and Emory University, Atlanta, GA, USA;
renal cell carcinoma; subtype classification; computer-aided diagnosis; tissue image quantification; feature extraction for classification; wavelet; co-occurrence; morphological processing;
机译:血小霉素血肿的深度特征分类,无可见脂肪和肾细胞癌在腹部对比度增强CT CT图像中,具有纹理图像贴片和手工制作的特征串联
机译:肾细胞癌亚型的纹理差异:基于机器学习的定量计算断层扫描纹理分析,具有独立的外部验证
机译:阴茎鳞状细胞癌(SCC)的HPV和非HPV相关亚型:根据新的WHO分类标准的形态特征和鉴别诊断(2015)
机译:使用特征袋对肾细胞癌亚型进行自动分类
机译:了解乳头状肾细胞癌亚型的属性:分子分析,生物标志物发现及其对治疗的意义
机译:基于形态学纹理和小波的自动肾细胞癌亚型分类
机译:使用尺度不变特征变换自动分类肾细胞癌亚型