Imaging spectroscopy integrates traditional computer vision and spectroscopy into a single
system and has gained widespread acceptance as a non-destructive scientific instrument for …

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 …

Deep learning algorithms have seen acute growth of interest in their applications throughout
several fields of interest in the last decade, with medical hyperspectral imaging being a …

Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety of applications
relied on high-precision pathology image segmentation, such as computational pathology …

This is a review on the use of artificial intelligence for digital breast pathology. A systematic
search on PubMed was conducted, identifying 17,324 research papers related to breast …

Since the introduction of the hematoxylin and eosin (H&E)-stained slide in 1876 as the
primary tool in the pathologist's toolbox up until the last decade, few tools, other than the …

Laparoscopic surgery has evolved as a key technique for cancer diagnosis and therapy.
While characterization of the tissue perfusion is crucial in various procedures, such as partial …

Currently, there are no fast and accurate screening methods available for head and neck
cancer, the eighth most common tumor entity. For this study, we used hyperspectral imaging …

Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety of applications
relying on high-precision pathology image segmentation, such as computational pathology …

Significance: Automatic, fast, and accurate identification of cancer on histologic slides has
many applications in oncologic pathology. Aim: The purpose of this study is to investigate …