The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer
Background: Nuclear texture analysis gives information about the spatial arrangement of the pixel gray levels in a digitized microscopic nuclear image, providing texture features that may be used as quantitative tools for prognosis of human cancer. The aim of the study was to evaluate the prognostic...
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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-2012-0065 |
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| _version_ | 1832553923609624576 |
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| author | Birgitte Nielsen Fritz Albregtsen Wanja Kildal Vera M. Abeler Gunnar B. Kristensen Håvard E. Danielsen |
| author_facet | Birgitte Nielsen Fritz Albregtsen Wanja Kildal Vera M. Abeler Gunnar B. Kristensen Håvard E. Danielsen |
| author_sort | Birgitte Nielsen |
| collection | DOAJ |
| description | Background: Nuclear texture analysis gives information about the spatial arrangement of the pixel gray levels in a digitized microscopic nuclear image, providing texture features that may be used as quantitative tools for prognosis of human cancer. The aim of the study was to evaluate the prognostic value of adaptive nuclear texture features in early stage ovarian cancer. |
| format | Article |
| id | doaj-art-0fe1fec05c76404c8b45096c6224e390 |
| institution | Kabale University |
| issn | 2210-7177 2210-7185 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Analytical Cellular Pathology |
| spelling | doaj-art-0fe1fec05c76404c8b45096c6224e3902025-02-03T05:52:48ZengWileyAnalytical Cellular Pathology2210-71772210-71852012-01-0135430531410.3233/ACP-2012-0065The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian CancerBirgitte Nielsen0Fritz Albregtsen1Wanja Kildal2Vera M. Abeler3Gunnar B. Kristensen4Håvard E. Danielsen5Institute for Medical Informatics, Oslo University Hospital, Oslo, NorwayInstitute for Medical Informatics, Oslo University Hospital, Oslo, NorwayInstitute for Medical Informatics, Oslo University Hospital, Oslo, NorwayDepartment of Pathology, Oslo University Hospital, Oslo, NorwayInstitute for Medical Informatics, Oslo University Hospital, Oslo, NorwayInstitute for Medical Informatics, Oslo University Hospital, Oslo, NorwayBackground: Nuclear texture analysis gives information about the spatial arrangement of the pixel gray levels in a digitized microscopic nuclear image, providing texture features that may be used as quantitative tools for prognosis of human cancer. The aim of the study was to evaluate the prognostic value of adaptive nuclear texture features in early stage ovarian cancer.http://dx.doi.org/10.3233/ACP-2012-0065 |
| spellingShingle | Birgitte Nielsen Fritz Albregtsen Wanja Kildal Vera M. Abeler Gunnar B. Kristensen Håvard E. Danielsen The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer Analytical Cellular Pathology |
| title | The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer |
| title_full | The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer |
| title_fullStr | The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer |
| title_full_unstemmed | The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer |
| title_short | The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer |
| title_sort | prognostic value of adaptive nuclear texture features from patient gray level entropy matrices in early stage ovarian cancer |
| url | http://dx.doi.org/10.3233/ACP-2012-0065 |
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