Breast cancer is one of the most common and deadliest cancers among women. Since
histopathological images contain sufficient phenotypic information, they play an …

With the advent and great advances of methods based on deep learning in image analysis,
it appears that they can be effective in digital pathology to support the work of pathologists …

Microorganisms such as protozoa and bacteria play very important roles in many practical
domains, like agriculture, industry and medicine. To explore functions of different categories …

Segmentation of microscopic images is always considered a challenging task due to the
inherent properties of the microscopic images. In general, microscopic images have …

The paper presents an improved system to recognition of Fuhrman grading in clear-cell
renal carcinoma using an ensemble of classifiers. The novelty of solution includes the …

The accuracy of the applied technique for automated nuclei segmentation is critical in
obtaining high-quality and efficient diagnostic results. Unfortunately, multiple objects in …

Background Hot-spot based examination of immunohistochemically stained histological
specimens is one of the most important procedures in pathomorphological practice. The …

Diffuse large B-cell lymphoma (DLBCL) is a fast-growing and aggressive neoplasm
originating from B lymphocytes. Evaluation of proliferation index (PI) based on Ki67 …

This paper presents the METINUS Plus (METhod of Immunohistochemical NUclei
Segmentation Plus) method that has been developed for localization and quantification of …

The context-based examination of stained tissue specimens is one of the most important
procedures in histopathological practice. The development of image processing methods …