Microwave-based Breast Cancer Detection by using Auto Encoder-Decoder Probabilistic Neural Network

In this paper, our primary objective is to present an AI-based model designed for the detection of breast cancer through the analysis of microwave data. The data utilized in this study were collected by MammoWave scanner, with the magnitude of the \mathbf{S 2 1} complex number serving as the raw dat...

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Veröffentlicht in:	International Symposium on Medical Information and Communication Technology (Online) S. 47 - 52
Hauptverfasser:	Taghipour-Gorjikolaie, Mehran, Ghavami, Navid, Tiberi, Gianluigi, Badia, Mario, Papini, Lorenzo, Fracassini, Arianna, Bigotti, Alessandra, Palomba, Gianmarco, Ghavami, Mohammad
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 15.05.2024
Schlagworte:	Accuracy Artificial Intelligence Auto Encoder-Decoder Biological neural networks Breast cancer Encoding Feature extraction Microwave devices Microwave theory and techniques Performance evaluation Probabilistic logic Probabilistic Neural Network Sensitivity and specificity
ISSN:	2326-8301
Online-Zugang:	Volltext
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