biological tissues; cancer; decision trees; diagnostic radiography; image classification; image segmentation; mammography; medical image processing; neural nets; ANN based classifier; BIRADS 2 category; BIRADS 3 category; Breast Imaging Reporting and Data System; CAD system; WGLLD features; Weighted Gray Level and Local Difference features; Zernike moment features; artificial neural network; benign breast masses; breast cancer signs; breast mass image segmentation; classification rate; computer aided diagnosis technique; decision tree; diagnostic procedures; local pattern model; malignancy risk rate scale; nearest neighborhood classifier; prospective breast biopsies; shape characterization; shape feature extraction; Breast; Cancer; Databases; Design automation; Feature extraction; Mammography; Shape;
机译:回复:多参数磁共振成像引导诊断活检可检测出重要的前列腺癌,并可减少不必要的活检和过度检测:一项前瞻性研究答复
机译:回复:多参数磁共振成像引导诊断活检可检测出重要的前列腺癌,并可减少不必要的活检和过度检测:一项前瞻性研究
机译:多参数磁共振成像引导的诊断性活检可检测出严重的前列腺癌,并可减少不必要的活检和过度检测:一项前瞻性研究
机译:减少前瞻性活组织检查乳房诊断程序的新发展
机译:开发用于乳腺癌诊断的近场太赫兹显微镜
机译:立体定向穿刺活检和手术切除作为乳腺癌患者诊断方法的前瞻性比较
机译:立体定向穿刺活检和手术切除作为乳腺癌患者诊断方法的前瞻性比较