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This research presents a non-ionic deep learning-driven impulse radio ultra-wideband (IR-UWB) multiantenna scheme for breast tumor localization, utilizing one transmitting and nine receiving antennas. The system achieves a high diagnostic accuracy of 99.11% by rotating the antennas around the breast and employing deep learning algorithms to classify tumor locations. The study demonstrates the effectiveness of this innovative approach compared to traditional diagnostic technologies, which often involve ioniz

Author

Olivia Chiang

Language

EN