Blood cell segmentation is an important research topic in Hematology and other related
fields. In this article, a technique for microscopic images segmentation is proposed in order …

Image Segmentation is an important step in Image processing applications. Microscopic
images of White Blood Cells (WBC) enable hematologists to predict the vulnerability to …

In this paper, we propose a complete automated framework for white blood cells differential
count in peripheral blood and bone marrow images, in order to reduce the analysis time and …

The white blood cell (WBC) segmentation and classification is a challenging task, due to the
different shapes of the nucleus, cytoplasm and the number of lobes. The purpose of this …

The identification of white blood cells (WBC) is essential since it can be used to diagnose
various diseases. But, there are many complex features in the image of blood smear …

The pixel-based classification is a robust segmentation approach of color images by
determining a label region for each pixel of the image. The main drawback of this approach …

The conventional way of leukemia diagnosis is microscopic observation of the blood slide by
hematologists which can be tedious, time consuming and expensive due to the complex …

Segmentation of images plays a key role in Image Processing as it simplifies further
processing by separating a broad image into many parts. White Blood Cells (WBC) …

The identification of white blood cells was important as it provided diagnosis information of
different kinds of diseases. However, traditional light microscopy based leukocyte cells …

Abstract Evaluation of blood smear is a commonly clinical test these days. Most of the time,
the hematologists are interested on white blood cells (WBCs) only. Digital image processing …