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在解读乳腺活检的病理学家诊断准确性的机器学习分类

Tad T Brunyé1,2, Kelsey Booth1, Dalit Hendel1

  • 1Center for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA 02155, United States.

Journal of the American Medical Informatics Association : JAMIA
|November 30, 2023
PubMed
概括

机器学习通过分析数字乳腺活检图像的观看行为,准确地预测病理学家的诊断准确性. 这种方法为培训和临床实践提供了自动反.

关键词:
乳腺病理学 乳腺病理学诊断的准确性 诊断的准确性诊断决策的制定过程.机器学习是机器学习.医学教育 医学教育医学图像解释解释 医学图像解释医疗住院培训 医疗住院培训

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A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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