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C. Gurtner

2 papers hereh-index 17885 citations65 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedDeep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region

84 citations · 96 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2021★ 12 cited

How Many Annotators Do We Need? -- A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment

Frauke Wilm, Christof A. Bertram, Christian Marzahl +23

Density of mitotic figures in histologic sections is a prognostically relevant characteristic for many tumours. Due to high inter-pathologist variability, deep learning-based algor…

cs.CV2019★ 84 cited

Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region

Marc Aubreville, Christof A. Bertram, Christian Marzahl +9

Manual count of mitotic figures, which is determined in the tumor region with the highest mitotic activity, is a key parameter of most tumor grading schemes. It can be, however, st…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.