دانلود رایگان مقاله تحلیل گر اسمیر خون برای شمارش گلبول های سفید خون

Abstract

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 and differential count of WBC from the blood smear slides. Hemocytometer based WBC counting provides more accurate result than manual counting, but hemocytometer preparation process needs expertise. As this device is targeted for remote places, blood smear technique is adopted to reduce the overhead of the operator. In the proposed system, microscopic images of blood smear sample are processed to highlight the WBC for segmentation. Region segmentation procedure involves background scaling and redundant region elimination from the region set. After segmentation, the more accurate region boundary is restored by using gradient based region growing with neighbourhood influence. Individual regions are separately classified on the basis of shape, size, color and texture features independently using different fuzzy and non-fuzzy techniques. A final decision is taken by combining these classification results, which is a kind of hybridization. A set of rules has been generated for making final classification decision based on outputs from various classifiers. The sensitivity and specificity of the system are found to be 96.4% and 79.6%, respectively on a database of 150 blood smear slides collected from different health centres of Kolkata Municipal Corporation, Kolkata, India.

4. Conclusion

An automatic hybrid system based on Fuzzy logic and Random forest has been proposed for calculating the total count and a differential count of WBCs in blood samples. The microscopic images of Leishman stained blood smear slides are taken as input, and a report is generated mentioning the total count and a differential count of WBCs in blood samples. The testing cost per patient is as low as a manual system, and accuracy is comparable with or sometimes better than that of the manual systems. Minimum technical skill is required to prepare slides, and almost no technical skill is needed to operate the system. Hence, it can be deployed at remote place of any developing country with minimum infrastructure. Also, this automatic system is capable to reducing the huge work pressure upon the government funded public health centers in the developing countries. The performance of this system can be improved further by using images captured with fluorescence microscopes, which will help to reduce artefacts [39] in the captured images. As a succeeding phase of work, authors are planning to introduce GPS [40] to design the region wise and year wise complete disease map. This map will be helpful for taking precautionary measures in the forthcoming years. Finally, this system has the potential to become a powerful tool for telemedicine system.