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, �berseering 33, 22297 Hamburg 172 pp. Englisch.

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Bibliographic Details

Title: An Improved Hybrid Hierarchical Model for Breast Cancer Detection
Publisher: LAP LAMBERT Academic Publishing Aug 2023
Publication Date: 2023
Language: English
ISBN 10: 6206755215
ISBN 13: 9786206755210
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 11 millimeters depth
Weight: 274 grams

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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.

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