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researcher

R. Bisschops

2 papers here

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

author position
  • middle author2

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

fields
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedOptimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index

429 citations · 429 across the 1 of their papers we have counts for

collaborators

2 papers

eess.IV2020★ 429 cited

Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index

Tom Eelbode, Jeroen Bertels, Maxim Berman +4

In many medical imaging and classical computer vision tasks, the Dice score and Jaccard index are used to evaluate the segmentation performance. Despite the existence and great emp…

cs.CV2019

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice

Jeroen Bertels, Tom Eelbode, Maxim Berman +4

The Dice score and Jaccard index are commonly used metrics for the evaluation of segmentation tasks in medical imaging. Convolutional neural networks trained for image segmentation…

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