Mathematical and deep learning analysis based on tissue dielectric properties at low frequencies predict outcome in human breast cancer.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
PMID: 34366303

Abstract

BACKGROUND: The early detection of human breast cancer represents a great chance of survival. Malignant tissues have more water content and higher electrolytes concentration while they have lower fat content than the normal. These cancer biochemical characters provide malignant tissue with high electric permittivity (ε´) and conductivity (σ).

Authors

  • Mamdouh M Shawki
    Medical Biophysics Department, Medical Research Institute, Alexandria University, Alexandria, Egypt.
  • Mohamed Moustafa Azmy
    Biomedical Engineering Department, Medical Research Institute, Alexandria University, Alexandria, Egypt.
  • Mohammed Salama
    Histochemistry and Cell Biology Department, Medical Research Institute, Alexandria University, Alexandria, Egypt.
  • Sanaa Shawki
    Pathology Department, Medical Research Institute, Alexandria University, Alexandria, Egypt.

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