协调和最糟糕的扫描仪综合征
Harmonization and the Worst Scanner Syndrome
摘要：
我们表明，对于广泛的一类协调/域不变计划的几个不良属性是不可避免的。如果预测机器对一组域是不变的，则输出预测的准确性（由互信息测量）受到具有最少信息量的域的限制。如果一个真实的标签值是关于源域的高度信息，它不能被不变预测器准确预测。这些结果是简单和直观的，但我们相信，这是有益的，他们的医疗成像协调。
英文摘要：
We show that for a wide class of harmonization/domain-invariance schemes several undesirable properties are unavoidable. If a predictive machine is made invariant to a set of domains, the accuracy of the output predictions (as measured by mutual information) is limited by the domain with the least amount of information to begin with. If a real label value is highly informative about the source domain, it cannot be accurately predicted by an invariant predictor. These results are simple and intuitive, but we believe that it is beneficial to state them for medical imaging harmonization.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
