Fuzzy set identification of bone marrow cells
| Autor: | JoAnn P. Fenn, Kern L. Nuttall, Reikang Wang, Carl T. Wittwer |
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| Rok vydání: | 1999 |
| Předmět: |
Discrete mathematics
Basis (linear algebra) Series (mathematics) business.industry Quantitative Biology::Tissues and Organs General Mathematics Fuzzy set General Engineering Cauchy distribution Pattern recognition Fuzzy logic Quantitative Biology::Cell Behavior medicine.anatomical_structure Feature (computer vision) medicine Bone marrow Artificial intelligence business Membership function Mathematics |
| Zdroj: | Journal of Shanghai University (English Edition). 3:70-73 |
| ISSN: | 1863-236X 1007-6417 |
| DOI: | 10.1007/s11741-999-0033-4 |
| Popis: | Using rubricytes and lymphocytes as examples, this paper presents a fuzzy set theory and method to identify human bone marrow hematopoiesis system cells (BMCs). On the basis of the Cauchy’s distribution function, this paper sets up a series of membership function formulae of the BMC feature fuzzy subsets, general identification formulae of fuzzy sets for the BMCs, as well as identification formulae of fuzzy sets for rubricytes and lymphocytes. These formulae will assist with the quantitation of unknown cells compared to standard cells. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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