Abstract:
Breast cancer is the most common cancer in women and is a major killer of women around the world. Early detection of breast cancer is essential for patients to receive the most effective clinical treatment possible. Using the proposed information normalization method, this paper develops a multi-level function selection technique to extract statistically significant features for detecting the size of breast cancers. Most phantom models do not have cancerous and healthy tissue delineated. In order to test the efficacy of microwave hyperthermia in the treatment of breast cancer. This presented report gives solution of the early detection of cancerous tissue. Dielectric constant of phantom and tumor are determined using S parameters and are presented in this report. Phantom experiments were conducted in accordance with the reported dielectric properties of tissue. Electrical conductivity and dielectric consistency were evaluated on phantoms of both normal and malignant breast tissue S parameter properties and dielectric probe package. The operating frequency of microwave is 3 GHz. The value of dielectric constant was measured in frequency of 3GHz which are found to be 6.725 for phantom and 52.566 for tumor respectively. As a result, this phantom can be used for antenna overall performance analysis and optimization and microwave hyperthermia in the treatment of breast cancer.
