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 …

With the continuous progress of development, deep learning has made good progress in the
analysis and recognition of images, which has also triggered some researchers to explore …

Hyperspectral imaging is useful for applications ranging from medical diagnostics to
agricultural crop monitoring; however, traditional scanning hyperspectral imagers are …

The main goal of brain cancer surgery is to perform an accurate resection of the tumor,
preserving as much normal brain tissue as possible for the patient. The development of a …

Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide and
its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and …

Objective: The utilization of hyperspectral imaging (HSI) in real-time tumor segmentation
during a surgery have recently received much attention, but it remains a very challenging …

A label-free, hyperspectral imaging (HSI) approach has been proposed for tumor margin
assessment. HSI data, ie, hypercube (x, y, λ), consist of a series of high-resolution images of …

Purpose: This study intends to investigate the feasibility of using hyperspectral imaging (HSI)
to detect and delineate cancers in fresh, surgical specimens of patients with head and neck …

Hyperspectral imaging (HSI) enables visualisation of morphological and biochemical
information, which could improve disease diagnostic accuracy. Unfortunately, the wide …

Artificial intelligence has been emerging as an increasingly important aspect of our daily
lives and is widely applied in medical science. One major application of artificial intelligence …