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Mitosis domain generalization in histopathology images -- The MIDOG challenge. (arXiv:2204.03742v1 [eess.IV])
April 11, 2022, 1:10 a.m. | Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Tar
cs.CV updates on arXiv.org arxiv.org
The density of mitotic figures within tumor tissue is known to be highly
correlated with tumor proliferation and thus is an important marker in tumor
grading. Recognition of mitotic figures by pathologists is known to be subject
to a strong inter-rater bias, which limits the prognostic value.
State-of-the-art deep learning methods can support the expert in this
assessment but are known to strongly deteriorate when applied in a different
clinical environment than was used for training. One decisive component in …
More from arxiv.org / cs.CV updates on arXiv.org
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