Significance Accurate identification between pathologic (eg, tumors) and healthy brain
tissue is a critical need in neurosurgery. However, conventional surgical adjuncts have …

Brain surgery is one of the most common and effective treatments for brain tumour. However,
neurosurgeons face the challenge of determining the boundaries of the tumour to achieve …

Aerosols are crucial constituents of the atmosphere, with significant impacts on air quality.
Aerosol optical depth (AOD) is critical in assessing solar resources and modeling sky …

This study reviews advanced methods for corrosion detection and characterization in pipes
using thermography, with a focus on addressing the limitations posed by small datasets …

The sparsity constraint of abundance plays an important role in the effectiveness of
nonnegative matrix decomposition for hyperspectral unmixing (HU). norm, norm, and norm …

Convolutional autoencoder, which can well model the spatial correlation of the data, have
been widely applied to spectral unmixing task and achieved desirable performance …

Multi and hyperspectral images have become invaluable sources of information,
revolutionizing various fields such as remote sensing, environmental monitoring, agriculture …

Hyperspectral imaging (HSI) is a well-established technique in remote sensing that has
been successfully translated into the medical field, especially for diagnosis and guided …

Glioblastoma is considered an aggressive tumor due to its rapid growth rate and diffuse
pattern in various parts of the brain. Current in-vivo classification procedures are executed …

TThis study introduces a classification methodology designed for the analysis of in-vivo
hyperspectral brain images, aimed at the precise identification of affected regions by …