Development of Artificial Breast Model for Study of Tumor Hardness Exploration
| Autor: | Kai-Yang Chang, 張凱揚 |
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| Rok vydání: | 2007 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 95 The breast cancer is one of the malignant tumor that women happen most frequently. The breast cancer ranked in women''s ten major cancers in recent years. And examine of breast tumor has taken very important role in the breast cancer prevented and cured. Confirm through experimental result of Li, breast palpation method and artificial neural network can distinguish characteristic of breast cancer. In this study, we designed and made the model of artificial 3D silicon of soft tissue that is more approximate then true breast. Use two axis force sense for exploration experiment and assess its efficiency. Find out describe the tumor characteristic more effective feature and best explore strategy to use ANN for forecast stiffness ratio of tumor with soft tissue. In this study, we used two axis force feature for input of ANN and 11 data sets for validation. Results depict that prediction accuracy can be achieved very well for inclusion properties, such as big, small, deep and shallow tumor. This result can compared with finite element analysis and makes to human basis of breast clinical diagnosis. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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