Breast Cancer Detection With Optimized Machine Learning Techniques

May 2023
Vol-9, Issue-3
Paper ID: 20558
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
COMPUTER ENGINNERING
Keywords
Blood cancer Detection CNN Image processing.
Abstract
Cancer is a deadly disease. Initial detection of cancer is the best way to cure the disease. Medical Image Processing plays an essential part in the detection of disease. Leukemia is a kind of blood cancer that happens due to irregular or immature White Blood Cell (WBC) s. In general, WBC is the fighter to fight against infectious cells in the human body. Abnormal growth of WBC from bone marrow will destroy the other cells and affect bone marrow and lymphatic tissues. These cells do not function properly and leads to leukemia. In olden days, identification of disease and cell counting in the blood were very complicated. In the medical sector, they use a device called Haemocytometer which counts the amount of cells in the blood manually. But it takes more time for counting and gives inaccurate results. To overcome these issues, a software based solution is given with the help of microscopic images. With this image processing technique, the number of RBCs, WBCs and platelets are calculated and also whether a person can be affected by leukemia or not is identified.

Author Information

# Name Institute / Affiliation
1 Apurva Anil Patil D. Y. Patil technical campus talsande
2 Prerana Sanjay Pol D. Y. Patil technical campus talsande
3 Aarti Arjun Kamble D. Y. Patil technical campus talsande
4 Sneha Devanand Dale D. Y. Patil technical campus talsande
5 Prof. Umesh Anandrao Patil D. Y. Patil technical campus talsande

How to Cite

Use the following formats to cite this article in your research.

APA Style
Patil, Apurva Anil, Pol, Prerana Sanjay, Kamble, Aarti Arjun, Dale, Sneha Devanand, & Patil, Prof. Umesh Anandrao (2023). Breast Cancer Detection With Optimized Machine Learning Techniques. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 3136-3140.
MLA Style
Patil, Apurva Anil, et al. "Breast Cancer Detection With Optimized Machine Learning Techniques." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 3136-3140.
IEEE Style
Apurva Anil Patil, Prerana Sanjay Pol, Aarti Arjun Kamble, Sneha Devanand Dale, and Prof. Umesh Anandrao Patil, "Breast Cancer Detection With Optimized Machine Learning Techniques," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 3136-3140, 2023.
Vancouver Style
Patil Apurva Anil, Pol Prerana Sanjay, Kamble Aarti Arjun, Dale Sneha Devanand, Patil Prof. Umesh Anandrao. Breast Cancer Detection With Optimized Machine Learning Techniques. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):3136-3140.
Harvard Style
Patil, Apurva Anil, Pol, Prerana Sanjay, Kamble, Aarti Arjun, Dale, Sneha Devanand, & Patil, Prof. Umesh Anandrao (2023) 'Breast Cancer Detection With Optimized Machine Learning Techniques', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 3136-3140.
Chicago Style
Patil, Apurva Anil, et al. "Breast Cancer Detection With Optimized Machine Learning Techniques." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 3136-3140.
Turabian Style
Patil, Apurva Anil, et al. "Breast Cancer Detection With Optimized Machine Learning Techniques." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 3136-3140.

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