Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma - Feng, Zhichao; Rong, Pengfei; Cao, Peng; Zhou, Qingyu; Zhu, Wenwei; Yan, Zhimin; Liu, Qianyun; Wang, Wei (European radiology, 2018)
Keywords: Angiomyolipoma; Angiomyolipoma - diagnostic imaging; Angiomyolipoma - pathology; Artificial intelligence; Carcinoma, Renal Cell - diagnostic imaging; Carcinoma, Renal Cell - pathology; Classifiers; Computed tomography; Diagnosis, Differential; Diagnostic Radiology; Diagnostic systems; Differentiation; Feature extraction; Female; Humans; Image processing; Image segmentation; Imaging; Internal Medicine; Interventional Radiology; Kidney cancer; Kidney Neoplasms - diagnostic imaging; Kidney Neoplasms - pathology; Learning algorithms; Machine learning; Male; Medicine; Medicine & Public Health; Middle Aged; Neuroradiology; Oversampling; Radiology; Renal cell carcinoma; Reproducibility of Results; Retrospective Studies; Sensitivity and Specificity; Support Vector Machine; Support vector machines; Surgery; Texture; Tomography, X-Ray Computed - methods; Ultrasound; Urogenital; Texture analysis; Angiomyolipoma; Computed tomography; Renal cell carcinoma; Machine learning