Dataset Open Access

Tissue blocks for EBV detection in stomach cancer

Kather, Jakob Nikolas


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  <dc:creator>Kather, Jakob Nikolas</dc:creator>
  <dc:date>2019-06-16</dc:date>
  <dc:description>Tissue blocks from hematoxylin and eosin (H&amp;E) images of stomach adenocarcinoma samples (STAD) from our validation cohort

They are grouped into four classes:


	false negative: true EBV+ patient, block predicted to be EBV-
	false positive: true EBV- patient, block predicted to be EBV+
	true negative: true EBV- patient, block predicted to be EBV-
	true positive: true EBV+ patient, block predicted to be EBV+


all blocks are 224 x 224 px, corresponding to 256x256 µm

The blocks represent only a subset of the full validation cohort, selected as follows


	from each patient, only a maximum of 50 randomly drawn blocks was used
	we saved the upper and lower quartile (sorted by EBV score)
	we then grouped into true and false positive (high EBV score) and negative (low EBV score), respectively
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  <dc:identifier>https://zenodo.org/record/3247009</dc:identifier>
  <dc:identifier>10.5281/zenodo.3247009</dc:identifier>
  <dc:identifier>oai:zenodo.org:3247009</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.3247008</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/zenodo</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>Tissue blocks for EBV detection in stomach cancer</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
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