Digital pathology and microscopy image analysis is widely used for comprehensive studies
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …

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 …

Purpose To update the American Society of Clinical Oncology (ASCO)/College of American
Pathologists (CAP) guideline recommendations for human epidermal growth factor receptor …

In this paper, we propose a generalized Laplacian of Gaussian (LoG)(gLoG) filter for
detecting general elliptical blob structures in images. The gLoG filter can not only accurately …

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 …

Abstract Immunohistochemical (IHC) assays performed on formalin-fixed paraffin-embedded
(FFPE) tissue sections traditionally have been semi-quantified by pathologist visual scoring …

The convergence of digital pathology and computer vision is increasingly enabling
computers to perform tasks performed by humans. As a result, artificial intelligence (AI) is …

Immunohistochemistry (IHC) is a well-established and commonly used staining method for
clinical diagnosis and biomedical research. In most IHC images, the target protein is …

In this letter, we present a novel watershed-based method for segmentation of cervical and
breast cell images. We formulate the segmentation of clustered nuclei as an optimization …

Introduction HER-2/neu is a protein present on the surface of specific cancer cells and has
been linked to the development and progression of certain cancer types. It is present in 15 to …