Generalization of deep learning in digital pathology: experience in breast cancer metastasis detection

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  • who: Sofia Jarkman et al. from the Department of Clinical Pathology, and Department of Biomedical and Clinical Sciences, University, , HB Nijmegen, The Netherlands have published the paper: Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection, in the Journal: Cancers 2022, 5424 of /2022/
  • what: The aim of this study was to test the generalizability of a pretrained deep learning model to a new diagnostic setting and to a small change in surgical indication. The model was developed by the computational pathology group at Radboud University Medical Center (UMC), Nijmegen, the . . .

     

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