Classification of Rat Mammary Carcinoma with Large Scale in Vivo Microwave Measurements
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Tarih
2022
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NATURE PORTFOLIO
Erişim Hakkı
Özet
Mammary carcinoma, breast cancer, is the most commonly diagnosed cancer type among women. Therefore, potential new technologies for the diagnosis and treatment of the disease are being investigated. One promising technique is microwave applications designed to exploit the inherent dielectric property discrepancy between the malignant and normal tissues. In theory, the anomalies can be characterized by simply measuring the dielectric properties. However, the current measurement technique is error-prone and a single measurement is not accurate enough to detect anomalies with high confdence. This work proposes to classify the rat mammary carcinoma, based on collected large-scale in vivo S11 measurements and corresponding tissue dielectric properties with a circular difraction antenna. The tissues were classifed with high accuracy in a reproducible way by leveraging a learning-based linear classifer. Moreover, the most discriminative S11 measurement was identifed, and to our surprise, using the discriminative measurement along with a linear classifer an 86.92% accuracy was achieved. These fndings suggest that a narrow band microwave circuitry can support the antenna enabling a low-cost automated microwave diagnostic system.
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