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

The field of anatomic pathology has changed significantly over the last decades and, as a
result of the technological developments in molecular pathology and genetics, has had …

Goal: The purpose of this paper is to develop a classification method that combines both
spectral and spatial information for distinguishing cancer from healthy tissue on …

In recent years, hyperspectral imaging (HSI) has been shown as a promising imaging
modality to assist pathologists in the diagnosis of histological samples. In this work, we …

Background and objective Current studies based on digital biopsy images have achieved
satisfactory results in detecting colon cancer despite their limited visual spectral range. Such …

The implementation of tumor grading tasks with image processing and machine learning
techniques has progressed immensely over the past several years. Multispectral imaging …

Breast cancer diagnosis is still done by observation of biopsies under the microscope. The
development of automated methods for breast TMA classification would reduce diagnostic …

A performance study was conducted to compare classification accuracy using both
multispectral imaging (MSI) and standard bright-field imaging (RGB) to characterize breast …

The cancer remained as one of the major cause of mortality worldwide. Instead of traditional
excitional biopsy, it will be ideal to put forward the cancer detection using invasive …

The robustness of image features is a very important consideration in quantitative image
analysis. The objective of this paper is to investigate the robustness of a range of image …