Mostrando 6 resultados de: 6
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2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings(1)
2020 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC/URSI 2020 - Proceedings(1)
2021 IEEE Conference on Antenna Measurements and Applications, CAMA 2021(1)
Biomedical Signal Processing and Control(1)
IEEE Transactions on Terahertz Science and Technology(1)
Área temáticas
Física aplicada(2)
Medicina y salud(2)
Ciencias de la computación(1)
Farmacología y terapéutica(1)
Fisiología humana(1)
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Cáncer(4)
Aprendizaje automático(2)
Laboratorio médico(2)
Ciencias de la computación(1)
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scopus(6)
Breast Cancer Detection with Low-Dimensional Ordered Orthogonal Projection in Terahertz Imaging
ArticleAbstract: This article proposes a new dimension reduction algorithm based on low-dimensional ordered orthogonaPalabras claves:Breast Cancer, expectation maximization (EM), Gaussian mixture model (GMM), Gibbs sampling, low-dimensional ordered orthogonal projection (LOOP), terahertz (THz)Autores:Bailey K., El-Shenawee M., Tanny Chavez, Vohra N., Wu J.Fuentes:scopusMammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
ArticleAbstract: Purpose: The objective of this study is to quantitatively evaluate terahertz (THz) imaging for diffePalabras claves:Breast Cancer, ENU-rat tumor induction, expectation-maximization classification method, Microscopic imaging, reflection mode, Sprague Dawley rats, Terahertz imagingAutores:Bailey K., Coan P.N., El-Shenawee M., Jackson T.A., Rajaram N., Tanny Chavez, Troncoso J.R., Vohra N., Wu J.Fuentes:scopusSpatial Image Segmentation for Breast Cancer Detection in Terahertz Imaging
Conference ObjectAbstract: This paper proposes a new spatial image segmentation algorithm for breast cancer detection in terahePalabras claves:Autores:Bailey K., El-Shenawee M., Tanny Chavez, Vohra N., Wu J.Fuentes:scopusSupervised Bayesian learning for breast cancer detection in terahertz imaging
ArticleAbstract: This paper proposes a supervised multinomial Bayesian learning algorithm for breast cancer detectionPalabras claves:Breast Cancer, Multinomial probit regression, Random Fourier features, Terahertz imagingAutores:Bailey K., El-Shenawee M., Tanny Chavez, Vohra N., Wu J.Fuentes:scopusSupervised Statistical Learning for Cancer Detection in Dehydrated Excised Tissue with Terahertz Imaging
Conference ObjectAbstract: This paper proposes a new supervised image segmentation algorithm for the detection of breast cancerPalabras claves:Autores:Bailey K., El-Shenawee M., Rajaram N., Tanny Chavez, Vohra N., Wu J.Fuentes:scopusTerahertz Imaging of Breast Cancer using Human and Animal Models
Conference ObjectAbstract: In this work, we demonstrate the comparison between the terahertz imaging of breast cancer tumors obPalabras claves:human breast cancer tumors, Sprague Dawley rats, Terahertz imaging, Transgenic mice, xenograft miceAutores:Bailey K., El-Shenawee M., Rajaram N., Tanny Chavez, Troncoso J.R., Vohra N., Wu J.Fuentes:scopus