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researcher

J. Bokhorst

3 papers hereh-index 151.2k citations34 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedQuantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

632 citations · 632 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.QM2025

A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides

Carlijn Lems, Leslie Tessier, John-Melle Bokhorst +18

Automated semantic segmentation of whole-slide images (WSIs) stained with hematoxylin and eosin (H&E) is essential for large-scale artificial intelligence-based biomarker analysis…

eess.IV2021

Automated risk classification of colon biopsies based on semantic segmentation of histopathology images

John-Melle Bokhorst, Iris D. Nagtegaal, Filippo Fraggetta +5

Artificial Intelligence (AI) can potentially support histopathologists in the diagnosis of a broad spectrum of cancer types. In colorectal cancer (CRC), AI can alleviate the labori…

cs.CV2019★ 632 cited

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

David Tellez, Geert Litjens, Peter Bandi +4

Stain variation is a phenomenon observed when distinct pathology laboratories stain tissue slides that exhibit similar but not identical color appearance. Due to this color shift b…

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