Maschenka Balkenhol
0000-0001-9457-618X
8 papers found
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Interobserver variability in the assessment of stromal tumor-infiltrating lymphocytes (sTILs) in triple-negative invasive breast carcinoma influences the association with pathological complete response: the IVITA study
Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
Learning to detect lymphocytes in immunohistochemistry with deep learning
Deep learning assisted mitotic counting for breast cancer
Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer
From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge
Sonographic Phenotypes of Molecular Subtypes of Invasive Ductal Cancer in Automated 3-D Breast Ultrasound
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