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Automated Disease Diagnosis Using Image Microscopy

Akshay Bhanushali1 , Ashwin Katale2 , Kuldeep Bandal3 , Vivek Barsopiya4 , Manish Potey5

Section:Technical Paper, Product Type: Journal Paper
Volume-4 , Issue-2 , Page no. 105-109, Feb-2016

Online published on Feb 29, 2016

Copyright © Akshay Bhanushali, Ashwin Katale, Kuldeep Bandal, Vivek Barsopiya , Manish Potey . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Akshay Bhanushali, Ashwin Katale, Kuldeep Bandal, Vivek Barsopiya , Manish Potey, “Automated Disease Diagnosis Using Image Microscopy,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.2, pp.105-109, 2016.

MLA Style Citation: Akshay Bhanushali, Ashwin Katale, Kuldeep Bandal, Vivek Barsopiya , Manish Potey "Automated Disease Diagnosis Using Image Microscopy." International Journal of Computer Sciences and Engineering 4.2 (2016): 105-109.

APA Style Citation: Akshay Bhanushali, Ashwin Katale, Kuldeep Bandal, Vivek Barsopiya , Manish Potey, (2016). Automated Disease Diagnosis Using Image Microscopy. International Journal of Computer Sciences and Engineering, 4(2), 105-109.

BibTex Style Citation:
@article{Bhanushali_2016,
author = {Akshay Bhanushali, Ashwin Katale, Kuldeep Bandal, Vivek Barsopiya , Manish Potey},
title = {Automated Disease Diagnosis Using Image Microscopy},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2016},
volume = {4},
Issue = {2},
month = {2},
year = {2016},
issn = {2347-2693},
pages = {105-109},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=804},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=804
TI - Automated Disease Diagnosis Using Image Microscopy
T2 - International Journal of Computer Sciences and Engineering
AU - Akshay Bhanushali, Ashwin Katale, Kuldeep Bandal, Vivek Barsopiya , Manish Potey
PY - 2016
DA - 2016/02/29
PB - IJCSE, Indore, INDIA
SP - 105-109
IS - 2
VL - 4
SN - 2347-2693
ER -

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Abstract

The finding of sicknesses utilizing microscopy is basic for medicinal services, and exact forecast. The count of WBC and RBC Cells are very important for the doctor to diagnose various diseases such as anemia, leukemia etc. At present, it requires a tremendous measure of human and financial assets. Hardware solutions like Automated Hematology Counter exits, they are very expensive machines and unaffordable in every hospital laboratory. To overcome these problems, this paper proposes an image processing technique to count the number of red blood & white blood cells in the blood sample image. Our methodology has been to consolidate the all-around created field of advanced imaging, image handling, and manual microscopy to acquire a powerful and minimal effort gadget. We utilize a low cost optical microscope retrofitted with computer controlled imaging and stage positioning modules, and perform MATLAB based image processing on the microscopic images to accomplish the wanted results. The blood cell count that is RBC & WBC count is then used to diagnose the patient as well as detection of abnormalities like leukemia. The "Automated Disease Diagnosis Using Image Microscopy" puts to utilize different parts of Electronics and Telecommunication, essentially Circuit Design and Image Processing for the execution of the undertaking.

Key-Words / Index Term

Disease Diagnosis; Blood tests; Blood Cell Counting; Malaria Detection; Digital Microscopy; Image Analysis; Malady; RBC; WBC

References

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