This paper presents an overview of methods that have been proposed for the analysis of
breast cancer histopathology images. This research area has become particularly relevant …

This paper summarizes the recent advances in image processing methods for
morphological cell analysis. The topic of morphological analysis has received much …

We present an efficient deep learning framework for identifying, segmenting, and classifying
cell membranes and nuclei from human epidermal growth factor receptor-2 (HER2)-stained …

The uncontrollable growth of cells in the breast tissue causes breast cancer which is the
second most common type of cancer affecting women in the United States. Normally, human …

Immunohistochemical (IHC) detection is of critical importance in the pathological diagnosis
of lung cancer. Interleukin-24 (IL-24) is a significant predictive and prognostic marker in IHC …

Although immunohistochemistry (IHC) is a popular imaging technique, the quantitative
analysis of IHC images via computer-aided methods is an emerging field that is gaining …

Accurate segmentation of hematoxylin-eosin (H&E) muscle fiber images is crucial for the
diagnosis of weightless muscle atrophy. However, uneven contrast, blurred fiber boundaries …

Estrogen and progesterone receptors serve as an important predictive and prognostic
biomarkers for breast cancer immunohistological analysis. For breast cancer prognosis …

Abstract Background and Objective: Visual expression of invasive breast cancer with
immunohistochemistry (IHC) allows evaluation of CerbB2 receptors, such that CerbB2 …

In the realm of clinical diagnostics and medical research, quantitative assessment of
membrane activity in immunohistochemistry (IHC) images is standard practice. Despite a …