Abstract. Nowadays, automated blood cell evaluation play a major role in the classification and diagnosis of diseases. Despite many possible ways to segment cells, recognition efficiency remains insufficient, especially when different types overlap. Also, one should not forget about cells structure complexity. Image segmentation image are main stages this problem. At same time, smear images is ...

Malaria microscopy, microscopic examination of stained blood slides to detect parasite Plasmodium, is considered be a gold standard for detecting life-threatening disease malaria. Detecting the plasmodium requires skilled examiner and may take up 10 15 minutes completely go through whole slide. Due lack medical professionals in underdeveloped or resource-deficient regions, many cases misdiagnos...

Total count and differential count of leukocytes or white blood cells (WBC) in blood samples are very important pathological factors for diagnosing a disease. There are not enough pathological infrastructures in the remote places of India and other developing countries. The objective of this work is to design a system, compatible with telemedicine, for automatic calculation of the total count a...

The automatic detection of white blood cells (WBCs) still remains as an unsolved issue in medical imaging. The analysis of WBC images has engaged researchers from fields of medicine and computer vision alike. Since WBC can be approximated by an ellipsoid form, an ellipse detector algorithm may be successfully applied in order to recognize such elements. This paper presents an algorithm for the ...

White Blood Cells are essential in keeping track of a person’s health. However, the pathologist’s experience will determine how blood smear is evaluated. Furthermore, it still challenging to classify WBCs accurately because they have various forms, sizes, and colors due distinct cell subtypes labeling methods. As result, powerful deep learning system for WBC categorization based on MobilenetV3-...

Motion smear is an important visual cue for motion perception by the human vision system (HVS). However, in image analysis research, exploiting motion smear has been largely ignored. Rather, motion smear is usually considered as a degradation of images that needs to be removed. In this paper, we establish a computational model that estimates image motion from motion smear information--"motion f...

Leukemoid reaction like leukemia indicates noticeable increased count of WBCs (White Blood Cells) but the cause it is due to severe inflammation or infections in other body regions. In automatic diagnosis classifying and leukemoid reactions, ALL IDB2 (Acute Lymphoblastic Leukemia-Image Data Base) dataset has been used which comprises 110 training images blast cells healthy cells. This paper aim...

This paper presents a new white blood cell classification system for the recognition of five types of white blood cells. We propose a new segmentation algorithm for the segmentation of white blood cells from smear images. The core idea of the proposed segmentation algorithm is to find a discriminating region of white blood cells on the HSI color space. Pixels with color lying in the discriminat...