Histopathologic Patterns of Nervous System Tumors Based on Computer Vision Methods and Whole Slide Imaging (WSI)
Background: Making an automatic diagnosis based on virtual slides and whole slide imaging or even determining whether a case belongs to a single class, representing a specific disease, is a big challenge. In this work we focus on WHO Classification of Tumours of the Central Nervous System. We try to...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.3233/ACP-2011-0043 |
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| _version_ | 1850212523620433920 |
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| author | Slawomir Walkowski Janusz Szymas |
| author_facet | Slawomir Walkowski Janusz Szymas |
| author_sort | Slawomir Walkowski |
| collection | DOAJ |
| description | Background: Making an automatic diagnosis based on virtual slides and whole slide imaging or even determining whether a case belongs to a single class, representing a specific disease, is a big challenge. In this work we focus on WHO Classification of Tumours of the Central Nervous System. We try to design a method which allows to automatically distinguish virtual slides which contain histopathologic patterns characteristic of glioblastoma – pseudopalisading necrosis and discriminate cases with neurinoma (schwannoma), which contain similar structures – palisading (Verocay bodies). |
| format | Article |
| id | doaj-art-8a4447cfcddd45369700ac2a7c12301b |
| institution | OA Journals |
| issn | 2210-7177 2210-7185 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Analytical Cellular Pathology |
| spelling | doaj-art-8a4447cfcddd45369700ac2a7c12301b2025-08-20T02:09:18ZengWileyAnalytical Cellular Pathology2210-71772210-71852012-01-0135211712210.3233/ACP-2011-0043Histopathologic Patterns of Nervous System Tumors Based on Computer Vision Methods and Whole Slide Imaging (WSI)Slawomir Walkowski0Janusz Szymas1Poznan University of Technology, Poznan, PolandUniversity of Medical Sciences, Poznan, PolandBackground: Making an automatic diagnosis based on virtual slides and whole slide imaging or even determining whether a case belongs to a single class, representing a specific disease, is a big challenge. In this work we focus on WHO Classification of Tumours of the Central Nervous System. We try to design a method which allows to automatically distinguish virtual slides which contain histopathologic patterns characteristic of glioblastoma – pseudopalisading necrosis and discriminate cases with neurinoma (schwannoma), which contain similar structures – palisading (Verocay bodies).http://dx.doi.org/10.3233/ACP-2011-0043 |
| spellingShingle | Slawomir Walkowski Janusz Szymas Histopathologic Patterns of Nervous System Tumors Based on Computer Vision Methods and Whole Slide Imaging (WSI) Analytical Cellular Pathology |
| title | Histopathologic Patterns of Nervous System Tumors Based on Computer Vision Methods and Whole Slide Imaging (WSI) |
| title_full | Histopathologic Patterns of Nervous System Tumors Based on Computer Vision Methods and Whole Slide Imaging (WSI) |
| title_fullStr | Histopathologic Patterns of Nervous System Tumors Based on Computer Vision Methods and Whole Slide Imaging (WSI) |
| title_full_unstemmed | Histopathologic Patterns of Nervous System Tumors Based on Computer Vision Methods and Whole Slide Imaging (WSI) |
| title_short | Histopathologic Patterns of Nervous System Tumors Based on Computer Vision Methods and Whole Slide Imaging (WSI) |
| title_sort | histopathologic patterns of nervous system tumors based on computer vision methods and whole slide imaging wsi |
| url | http://dx.doi.org/10.3233/ACP-2011-0043 |
| work_keys_str_mv | AT slawomirwalkowski histopathologicpatternsofnervoussystemtumorsbasedoncomputervisionmethodsandwholeslideimagingwsi AT januszszymas histopathologicpatternsofnervoussystemtumorsbasedoncomputervisionmethodsandwholeslideimagingwsi |