Neural Network Modeling in the Construction of Multiple Nonlinear Regression of RTM-Diagnostic Data

This work is part of a group project to create a breast cancer diagnostic consultative system for professionals of all qualifications. Microwave thermometry data are extremely important in the diagnosis of cancer. However, the existing diagnostic signs do not take into account the influence of external parameters on the temperature of the breasts. This research is devoted to the refinement of the sign space for diagnosing cancer by using the influence of ambient temperature, diameter of the breast, etc. on the temperature at specific points of the breast.