Quantitation of malaria burden provides prognostic and disease monitoring information, vital for proper clinical management of patients. It may also be required to assess response to malaria vaccines or drugs in clinical trials. Accurate microscopic malaria diagnosis requires training and experience, and is therefore an obvious target for automation using digital image processing and analysis s...

In this paper, we propose a general formulation of discrete functional regularization on weighted graphs. This framework can be used to on any multi-dimensional data living on graphs of arbitrary topologies. But, in this work, we focus on the microscopic image segmentation and classification with a semi and unsupervised schemes. Moreover, to provide a fast image segmentation we propose a graph ...

Leukemia is the type of blood cell cancer and it actually starts from the bone marrow and then it affects the blood cells. It is said to be cancerous when a large number of abnormal White Blood Cells (WBC) enter into bone marrow and it does not respond to the cell growth inhibitors which leads to Acute Lymphocytic leukemia (ALL). The main aim of this paper is to analyze the blood microscopic im...

We have developed an image guided microscopic surgery system for the navigation of surgical procedures that can overlay renderings of anatomical structures that are otherwise invisible. A new histogram-based mutual information maximization technique was applied for alignment of the scope view and three-dimensional computer graphics model. This technique doesn’t require any pre-processing nor ma...

MOTIVATION Modern anatomical and developmental studies often require high-resolution imaging of large specimens in three dimensions (3D). Confocal microscopy produces high-resolution 3D images, but is limited by a relatively small field of view compared with the size of large biological specimens. Therefore, motorized stages that move the sample are used to create a tiled scan of the whole spec...

Article history: Received 30 November 2007 Received in revised form 29 September 2008 Accepted 23 October 2008

Microscopic cellular image segmentation schemes must be efficient for reliable analysis and fast to process huge quantity of images. Recent studies have focused on improving segmentation quality. Several segmentation schemes have good quality but processing time is too expensive to deal with a great number of images per day. For segmentation schemes based on pixel classification, the classifier...

The combination of classifiers has been proposed as a method allowing to improve the quality of recognition systems as compared to a single classifier. This paper describes a segmentation scheme based on a combination of pixel classifications. The aim of this paper is to show the influence of the neighborhood information and of the number of classifiers used in several combination processes. In...

Clustering is one of the most common automated segmentation techniques used in the fields of bioinformatics applications specifically for the microscopic image processing usage. Recently many scientists have performed tremendous research in helping the haematologists in the issue of segmenting the leukocytes region from the blood cells microscopic images in the early of prognosis. During the po...

background and objectives: leptospirosis is considered to be the most widespread zoonotic disease in the world and can infect a wide range of animals. although the prevalence of clinical leptospirosis in cats is low, they are probably exposed to leptospires excreted by wild life, rodents etc. this study was performed to determine the serologic reaction of cats to leptospires and their importanc...