Directional Kernel Density Estimation for Classification of Breast Tissue Spectra.
Pardo A, Real E, Krishnaswamy V, Lopez-Higuera JM, Pogue BW, Conde OM.
Pardo A, et al. Among authors: real e.
IEEE Trans Med Imaging. 2017 Jan;36(1):64-73. doi: 10.1109/TMI.2016.2593948. Epub 2016 Jul 26.
IEEE Trans Med Imaging. 2017.
PMID: 27479956
After proper normalization, Directional KDE is used to estimate the likelihood of every pixel in the image belonging to each specified tissue class. This information is enough to yield, in almost real time and with 98% accuracy, results that coincide with those provided by …
After proper normalization, Directional KDE is used to estimate the likelihood of every pixel in the image belonging to each specified tissu …