Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Martins, R. A., Felício, J. M., Costa, J. R. & Fernandes, C. A. (2021). Comparison of slot-based and Vivaldia antennas for breast tumor detection using machine learning and microwave imaging algorithms. In 2021 15th European Conference on Antennas and Propagation (EuCAP). Online: IEEE.
Exportar Referência (IEEE) 
R. A. Martins et al.,  "Comparison of slot-based and Vivaldia antennas for breast tumor detection using machine learning and microwave imaging algorithms", in 2021 15th European Conf. on Antennas and Propagation (EuCAP), Online, IEEE, 2021
Exportar BibTeX 
@inproceedings{martins2021_1714151516425,
	author = "Martins, R. A. and Felício, J. M. and Costa, J. R. and Fernandes, C. A.",
	title = "Comparison of slot-based and Vivaldia antennas for breast tumor detection using machine learning and microwave imaging algorithms",
	booktitle = "2021 15th European Conference on Antennas and Propagation (EuCAP)",
	year = "2021",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.23919/EuCAP51087.2021.9411128",
	publisher = "IEEE",
	address = "Online",
	organization = "EurAAP",
	url = "https://ieeexplore.ieee.org/xpl/conhome/9410887/proceeding"
}
Exportar RIS 
TY  - CPAPER
TI  - Comparison of slot-based and Vivaldia antennas for breast tumor detection using machine learning and microwave imaging algorithms
T2  - 2021 15th European Conference on Antennas and Propagation (EuCAP)
AU  - Martins, R. A.
AU  - Felício, J. M.
AU  - Costa, J. R.
AU  - Fernandes, C. A.
PY  - 2021
DO  - 10.23919/EuCAP51087.2021.9411128
CY  - Online
UR  - https://ieeexplore.ieee.org/xpl/conhome/9410887/proceeding
AB  - We compare the performance accuracy of a slot-based antenna and a Vivaldi antenna for breast tumor detection using machine learning (ML) algorithms jointly with microwave imaging (MWI) processing. MWI is known for having low resolution. Therefore, we here study the conjoint use of ML and MWI, in order to enable accurate detection of breast tumors and evaluate how the probing antenna affects the overall system performance. To this end, we perform measurements in the frequency range of 2-6 GHz on anthropomorphic breasts of different volumes and shapes, where we placed two types of tumors. The slot-based antenna provides better imaging results (i.e. good detection of the tumor), but the accuracy of ML techniques is only 60%. Concerning the Vivaldi antenna, the images present clutter, but the accuracy of ML techniques is as high as 85%. These results show that ML and MWI can be complementary to each other.
ER  -