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This paper introduces a feed-forward back-propagation Neural Network (NN) model for the early detection and localization of breast tumors using Ultra-Wide Band (UWB) imaging. The model achieved a detection rate of approximately 100% for tumor presence and 94.4% for location accuracy by analyzing electromagnetic wave signals reflected from a breast model with a simulated tumor. The study highlights the potential of this NN approach as a cost-effective alternative to traditional detection methods like X-ray m

Author

Olivia Chiang

Language

EN