Deep bilinear features for Her2 scoring in digital pathology
We present an automated approach for rating HER2 over-expressions in given whole-slide images of breast cancer histology slides. The slides have a very high resolution and only a small part of it is relevant for the rating.
Main Authors: | , , |
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Format: | Article |
Language: | English |
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De Gruyter
2017-09-01
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Series: | Current Directions in Biomedical Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1515/cdbme-2017-0171 |
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author | Rodner Erik Simon Marcel Denzler Joachim |
author_facet | Rodner Erik Simon Marcel Denzler Joachim |
author_sort | Rodner Erik |
collection | DOAJ |
description | We present an automated approach for rating HER2 over-expressions in given whole-slide images of breast cancer histology slides. The slides have a very high resolution and only a small part of it is relevant for the rating. |
first_indexed | 2024-04-09T18:32:48Z |
format | Article |
id | doaj.art-3510a439f75a4dcfa6a3b0bd697bec4a |
institution | Directory Open Access Journal |
issn | 2364-5504 |
language | English |
last_indexed | 2024-04-09T18:32:48Z |
publishDate | 2017-09-01 |
publisher | De Gruyter |
record_format | Article |
series | Current Directions in Biomedical Engineering |
spelling | doaj.art-3510a439f75a4dcfa6a3b0bd697bec4a2023-04-11T17:07:14ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042017-09-013281181410.1515/cdbme-2017-0171cdbme-2017-0171Deep bilinear features for Her2 scoring in digital pathologyRodner Erik0Simon Marcel1Denzler Joachim2Corporate Research and Technology, Carl Zeiss AG Computer Vision Group, Friedrich-Schiller-Universität Jena, Germany Computer Vision Group, Friedrich-Schiller-Universität Jena, Germany We present an automated approach for rating HER2 over-expressions in given whole-slide images of breast cancer histology slides. The slides have a very high resolution and only a small part of it is relevant for the rating.https://doi.org/10.1515/cdbme-2017-0171digital pathologyautomatic microscopy analysisvisual recognitionmachine learning |
spellingShingle | Rodner Erik Simon Marcel Denzler Joachim Deep bilinear features for Her2 scoring in digital pathology Current Directions in Biomedical Engineering digital pathology automatic microscopy analysis visual recognition machine learning |
title | Deep bilinear features for Her2 scoring in digital pathology |
title_full | Deep bilinear features for Her2 scoring in digital pathology |
title_fullStr | Deep bilinear features for Her2 scoring in digital pathology |
title_full_unstemmed | Deep bilinear features for Her2 scoring in digital pathology |
title_short | Deep bilinear features for Her2 scoring in digital pathology |
title_sort | deep bilinear features for her2 scoring in digital pathology |
topic | digital pathology automatic microscopy analysis visual recognition machine learning |
url | https://doi.org/10.1515/cdbme-2017-0171 |
work_keys_str_mv | AT rodnererik deepbilinearfeaturesforher2scoringindigitalpathology AT simonmarcel deepbilinearfeaturesforher2scoringindigitalpathology AT denzlerjoachim deepbilinearfeaturesforher2scoringindigitalpathology |