使AUCMEDIAMi-Br线

Daniel Hieber1,2,3, Friederike Lische-Starnecker1, Johannes Schobel2

  • 1Department of Neuropathology, Pathology, Medical Faculty, University of Augsburg.

概括

本研究使用深度学习来探讨非典型的 (AMF) 和正常的 (NMF) 线粒数的差异化. 在乳腺癌研究中,AUCMEDI达到了85. 90%的AUC,显示出自动化线粒位数分析的前景.

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