Breast cancer in women is the second most common cancer worldwide. Early detection of
breast cancer can reduce the risk of human life. Non-invasive techniques such as …

Abstract Machine vision is being employed in defect detection, size measurement, pattern
recognition, image fusion, target tracking and 3D reconstruction. Traditional cancer detection …

Variations in the color and intensity of hematoxylin and eosin (H&E) stained histological
slides can potentially hamper the effectiveness of quantitative image analysis. This paper …

It is generally recognized that color information is central to the automatic and visual
analysis of histopathology tissue slides. In practice, pathologists rely on color, which reflects …

Deep learning methods have been shown to achieve excellent performance on diagnostic
tasks, but how to optimally combine them with expert knowledge and existing clinical …

Currently, histopathological tissue examination by a pathologist represents the gold
standard for breast lesion diagnostics. Automated classification of histopathological whole …

The diagnosis of cancer is mainly performed by visual analysis of the pathologists, through
examining the morphology of the tissue slices and the spatial arrangement of the cells. If the …

Background Oesophageal squamous cell carcinoma and adenocarcinoma of the
oesophagogastric junction have a dismal prognosis, and early detection is key to reduce …

Different types of cancer can be diagnosed with the analysis of histological samples stained
with hematoxylin–eosin (H&E). Through this stain, it is possible to identify the architecture of …

Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …