3 papers
cs.LG2024
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…
eess.IV2024
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…
eess.IV2024
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…