178 citations · 409 across the 4 of their papers we have counts for
4 papers
Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications
Raquel Lazcano, Daniel Madroñal, Giordana Florimbi +12
Hyperspectral (HS) imaging presents itself as a non-contact, non-ionizing and non-invasive technique, proven to be suitable for medical diagnosis. However, the volume of informatio…
Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons
E. Martel, R. Lazcano, J. Lopez +7
Dimensionality reduction represents a critical preprocessing step in order to increase the efficiency and the performance of many hyperspectral imaging algorithms. However, dimensi…
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection
H. Fabelo, S. Ortega, A. Szolna +25
The use of hyperspectral imaging for medical applications is becoming more common in recent years. One of the main obstacles that researchers find when developing hyperspectral alg…
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
H. Fabelo, S. Ortega, D. Ravi +19
Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the surrounding normal brain by these tumors makes their accurate identification by the n…