In contrast to conventional optical imaging modalities, hyperspectral imaging (HSI) is able to
capture much more information from a certain scene, both within and beyond the visual …

Hyperspectral/Multispectral imaging (HSI/MSI) technologies are able to sample from tens to
hundreds of spectral channels within the electromagnetic spectrum, exceeding the …

Hyperspectral imaging techniques (HSI) do not require contact with patients and are non-
ionizing as well as non-invasive. As a consequence, they have been extensively applied in …

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 naked …

Hyperspectral imaging (HSI) allows for the acquisition of large numbers of spectral bands
throughout the electromagnetic spectrum (within and beyond the visual range) with respect …

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 …

Semantic image segmentation is an important prerequisite for context-awareness and
autonomous robotics in surgery. The state of the art has focused on conventional RGB video …

Multispectral and hyperspectral imaging (HSI) are emerging optical imaging techniques with
the potential to transform the way surgery is performed but it is not clear whether current …

Hyperspectral imaging (HSI) is an emerging technology for medical diagnosis. This research
work presents a proof-of-concept on the use of HSI data to automatically detect human brain …

There are approximately 1.8 million diagnoses of colorectal cancer, 1 million diagnoses of
stomach cancer, and 0.6 million diagnoses of esophageal cancer each year globally. An …