The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer

Autor:	Birgitte Nielsen, Fritz Albregtsen, Wanja Kildal, Vera M. Abeler, Gunnar B. Kristensen, Håvard E. Danielsen
Jazyk:	angličtina
Rok vydání:	2012
Předmět:	Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Cytology QH573-671
Zdroj:	Analytical Cellular Pathology, Vol 35, Iss 4, Pp 305-314 (2012)
Druh dokumentu:	article
ISSN:	2210-7177 2210-7185
DOI:	10.3233/ACP-2012-0065
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/0fe1fec05c76404c8b45096c6224e390 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF