improved hybrid hierarchical model de sharma vikrant (4 resultados)

Taschenbuch. Condición: Neu. Neuware -Breast cancer is believed to be one in all most far reaching causes of death among women and second highest reason for deaths among humans. Today millions of women are suffering from breast cancer. It is difficult to detect breast cancer in the early stages due to its dormant nature and very few signs and symptoms. Therefore the main reason behind the diagnosis of breast cancer is to decrease the death rate by achieving accurate results. Hence there is a need to automate the diagnostic process to improve the sensitivity and accuracy of the tests. An artificial intelligence based hierarchical fuzzy expert system is developed which consists of risk parameters, subjective parameters, mammograms and cancerous cell images to diagnose breast cancer with precise results.Books on Demand GmbH, Überseering 33, 22297 Hamburg 172 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Breast cancer is believed to be one in all most far reaching causes of death among women and second highest reason for deaths among humans. Today millions of women are suffering from breast cancer. It is difficult to detect breast cancer in the early stages.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Breast cancer is believed to be one in all most far reaching causes of death among women and second highest reason for deaths among humans. Today millions of women are suffering from breast cancer. It is difficult to detect breast cancer in the early stages due to its dormant nature and very few signs and symptoms. Therefore the main reason behind the diagnosis of breast cancer is to decrease the death rate by achieving accurate results. Hence there is a need to automate the diagnostic process to improve the sensitivity and accuracy of the tests. An artificial intelligence based hierarchical fuzzy expert system is developed which consists of risk parameters, subjective parameters, mammograms and cancerous cell images to diagnose breast cancer with precise results. 172 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Breast cancer is believed to be one in all most far reaching causes of death among women and second highest reason for deaths among humans. Today millions of women are suffering from breast cancer. It is difficult to detect breast cancer in the early stages due to its dormant nature and very few signs and symptoms. Therefore the main reason behind the diagnosis of breast cancer is to decrease the death rate by achieving accurate results. Hence there is a need to automate the diagnostic process to improve the sensitivity and accuracy of the tests. An artificial intelligence based hierarchical fuzzy expert system is developed which consists of risk parameters, subjective parameters, mammograms and cancerous cell images to diagnose breast cancer with precise results.