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researcher

C. Mermel

6 papers hereh-index 5352.4k citations82 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedDevelopment and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer

509 citations · 1.3k across the 6 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

q-bio.QM2019★ 283 cited

Deep learning-based survival prediction for multiple cancer types using histopathology images

Ellery Wulczyn, David F. Steiner, Zhaoyang Xu +7

Prognostic information at diagnosis has important implications for cancer treatment and monitoring. Although cancer staging, histopathological assessment, molecular features, and c…

cs.CV2019★ 127 cited

Similar Image Search for Histopathology: SMILY

Narayan Hegde, Jason D. Hipp, Yun Liu +11

The increasing availability of large institutional and public histopathology image datasets is enabling the searching of these datasets for diagnosis, research, and education. Thou…

cs.CV2019★ 101 cited

Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection

Timo Kohlberger, Yun Liu, Melissa Moran +6

Digital pathology enables remote access or consults and powerful image analysis algorithms. However, the slide digitization process can create artifacts such as out-of-focus (OOF).…

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