Recognition of white blood cells (WBCs) is the first step to diagnose some particular diseases such as acquired immune deficiency syndrome, leukemia, and other blood-related diseases that are usually done by pathologists using an optical microscope. This process is time-consuming, extremely tedious, and expensive and needs experienced experts in this field. Thus, a computer-aided diagnosis syst...

The identification of fluorescently stained cell nuclei is the basis of cell detection, segmentation, and feature extraction in high content microscopy experiments. The nuclear morphology of single cells is also one of the essential indicators of phenotypic variation. However, the cells used in experiments can lose their contact inhibition, and can therefore pile up on top of each other, making...

Introduction: While much work has been devoted to MRI-based segmentation and voxel-based morphometry (VBM) of cortical anatomy, comparatively few studies have investigated deep grey matter structures. These are of particular interest for study of the structural correlates of neurological and neuropsychiatric disorders associated with basal ganglia dysfunction (1). The relatively small number of...

Nuclear architecture or the spatial arrangement of individual cancer nuclei on histopathology images has been shown to be associated with different grades and differential risk for a number of solid tumors such as breast, prostate, and oropharyngeal. Graph-based representations of individual nuclei (nuclei representing the graph nodes) allows for mining of quantitative metrics to describe tumor...

Computer-aided image analysis (CAI) can help objectively quantify morphologic features of hematoxylin-eosin (HE) histopathology images and provide potentially useful prognostic information on breast cancer. We performed a CAI workflow on 1,150 HE images from 230 patients with invasive ductal carcinoma (IDC) of the breast. We used a pixel-wise support vector machine classifier for tumor nests (T...

This Paper presents two automatic segmentation methods to locate nuclei in cytological images. The analysis includes the watershed algorithm, active contouring. One can also find here a description of image enhancement, Hough transform for circle detection and automatic nuclei localization mechanism used in this approach. Preliminary experimental results collected present the quality of the met...

Connectomics-the study of how neurons wire together in the brain-is at the forefront of modern neuroscience research. However, many connectomics studies are limited by the time and precision needed to correctly segment large volumes of electron microscopy (EM) image data. We present here a semi-automated segmentation pipeline using freely available software that can significantly decrease segme...

The amygdala is composed of multiple nuclei with unique functions and connections in the limbic system and to the rest of the brain. However, standard in vivo neuroimaging tools to automatically delineate the amygdala into its multiple nuclei are still rare. By scanning postmortem specimens at high resolution (100-150µm) at 7T field strength (n = 10), we were able to visualize and label nine am...

In this paper an automated method for cell nucleus segmentation in PAP smear images is presented. The method combines the global knowledge about the cells and nuclei appearance and the local characteristics of the area of the nuclei, in order to achieve an accurate nucleus boundary. Filters and morphological operators in all three channels of a color image result in the determination of the loc...

INTRODUCTION T HE CLINICAL HARMLESSNESS ofthe Pelger-Huet anomaly has been established. The anomaly is characterized by arrested segmentation of granulocyt#{231}s, typical appearance of the granulocytic nuclei, and autosomal dominant inheritance. The affected persons have no clinical complaints. Here we describe a family in which four sisters who have a segmentation arrest of granulocytes resem...