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 …

Digital pathology represents one of the major evolutions in modern medicine. Pathological
examinations constitute the gold standard in many medical protocols, and also play a critical …

Computer-aided image analysis of histopathology specimens could potentially provide
support for early detection and improved characterization of diseases such as brain tumor …

Over the past decade, dramatic increases in computational power and improvement in
image analysis algorithms have allowed the development of powerful computer-assisted …

In this paper, we present a unified framework for the rigid and nonrigid point set registration
problem in the presence of significant amounts of noise and outliers. The key idea of this …

A fast and accurate white blood cell (WBC) segmentation remains a challenging task, as
different WBCs vary significantly in color and shape due to cell type differences, staining …

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 …

The advent of whole-slide imaging in digital pathology has brought about the advancement
of computer-aided examination of tissue via digital image analysis. Digitized slides can now …

The purpose of this study is to develop an intelligent remote detection and diagnosis system
for breast cancer based on cytological images. First, this paper presents a fully automated …

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 …