Supervised Bayesian learning for breast cancer detection in terahertz imaging

Article

Abstract: This paper proposes a supervised multinomial Bayesian learning algorithm for breast cancer detection

Palabras claves:

Breast Cancer, Multinomial probit regression, Random Fourier features, Terahertz imaging

Autores:

Bailey K., El-Shenawee M., Tanny Chavez, Vohra N., Wu J.

Fuentes:

scopus