Cervical cancer is the one of the most common cancers in women worldwide, affecting
around 570,000 new patients each year. Although there have been great improvements …

We present a region‐based segmentation method in which seeds representing both object
and background pixels are created by combining morphological filtering of both the original …

There have been significant efforts to build a probabilistic atlas of the brain and to use it for
many common applications, such as segmentation and registration. Though the work related …

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 …

In this paper, we present a fully automated method for cell nuclei detection in Pap smear
images. The locations of the candidate nuclei centroids in the image are detected with …

We propose a cell detection and tracking solution using image-level sets computed via
threshold decomposition. In contrast to existing methods where manual initialization is …

Accurate grading for hepatocellular carcinoma (HCC) biopsy images is important to
prognosis and treatment planning. In this paper, we propose an automatic system for …

In this work, we present an automated method for the detection and boundary determination
of cells nuclei in conventional Pap stained cervical smear images. The detection of the …

High-throughput genome-wide RNA interference (RNAi) screening is emerging as an
essential tool to assist biologists in understanding complex cellular processes. The large …

Abstract Background/Objectives: The primary objective of this paper is to classify the clinical
dataset of cervical cancer to identify the stage of cancer which helps in proper treatment of …