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 …

Cancer is currently one of the leading causes of death worldwide. Innovative methods that
allow early and accurate detection of this disease need to be developed to increase the …

Hyperspectral imaging is a powerful tool in spectral analysis, used to obtain the spectrum for
each pixel in an image by capturing a broad range of wavelengths in the electromagnetic …

Image segmentation tasks often require fully annotated datasets where the boundaries of
the elements to be identified appear accurately marked. However, such detailed ground …

Gliomas constitute a significant challenge in neurosurgery due to their high incidence and
poor prognosis. Despite advancements in tumor detection techniques using machine …

Hyperspectral imaging approaches have proven its effectiveness in the medical field for
characterizing brain tissues. Furthermore, these techniques in conjunction with machine …

Tissue classification tasks that rely on multidimensional data, such as spectral information,
sometimes face issues related to the nature of their own characteristics when different …

Hyperspectral imaging is an emerging imaging modality originated in the remote sensing
field that has expanded its application to other research and industrial areas in the past …