Spectral imaging is a technology that integrates conventional imaging and spectroscopy to
get both spatial and spectral information from an object. Although this technology was …

Hyperspectral imaging (HSI) and multispectral imaging (MSI) technologies have the
potential to transform the fields of digital and computational pathology. Traditional digitized …

Stain normalization of microscopic images is the first pre-processing step in any computer-
assisted automated diagnostic tool. This paper proposes Geometry-inspired Chemical …

Simple Summary The rapid development of technology has enabled numerous applications
of artificial intelligence (AI), especially in medical science. Histopathological assessment of …

Goal: In digital histopathology, tasks of segmentation and disease diagnosis are achieved
by quantitative analysis of image content. However, color variation in image samples makes …

Background: Color consistency in histology images is still an issue in digital pathology.
Different imaging systems reproduced the colors of a histological slide differently. Materials …

This article presents a comprehensive study on the spectrum-based color reproduction
system, called Natural Vision (NV), which aims to break through the limitation of red–green …

Hyperspectral imaging (HSI) provides more detailed information than red-green-blue (RGB)
imaging, and therefore has potential applications in computer-aided pathological diagnosis …

This paper proposes a new Hepatocellular Carcinoma (HCC) classification method utilizing
a hyperspectral imaging system (HSI) integrated with a light microscope. Using our custom …

Conventional histopathology is rapidly shifting towards digital integration. Will microscopes
(and pathologists) soon be obsolete? Or are we dealing with just another image modality …