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 |
| Published: |
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 |
| _version_ | 1797848694758834176 |
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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 |