Journal of Innovative Image Processing is accepted for inclusion in Scopus. click here
Home / Archives / Volume-5 / Issue-3 / Article-4

Early Detection of Breast Cancer using Versatile Techniques - A Study

Sanjay S Tippannavar ,  Yashwanth S D,  Gayathri S,  Eshwari A Madappa
Open Access
Volume - 5 • Issue - 3 • september 2023
270-289  328 PDF
Abstract

Among all cancer types, breast cancer is the most prevalent. For females, it ranks as the second most common cause of cancer-related mortality. Every 1 person per 28 people in lifetime have a chance of developing breast cancer, according to statistics. Each year, it is estimated that over two million women encounter it. The high-risk group in India has an average age of 43–46 years, but in the west, women between the ages of 53 and 57 are more likely to get breast cancer. While there is no known cure for breast cancer, early detection and diagnosis significantly improves chances of survival. Treatment for breast cancer patients may be possible if the disease is identified and diagnosed early. Diagnosing benign from malignant tumours and determining whether a breast cancer case is early or progressed presents a number of challenges for cancer researchers. This study compares many methods for detecting breast cancer and provides a detailed analysis of each, highlighting the methods that are most accurate and economical. This study's primary goal is to comprehend the fundamental principles behind the various technologies used in breast cancer diagnosis. It is simple to save lives by spreading awareness of the latest and most varied detection and screening techniques.

Cite this article
Tippannavar, Sanjay S, Yashwanth S D, Gayathri S, and Eshwari A Madappa. "Early Detection of Breast Cancer using Versatile Techniques - A Study." Journal of Innovative Image Processing 5, no. 3 (2023): 270-289. doi: 10.36548/jiip.2023.3.004
Copy Citation
Tippannavar, S. S., D, Y. S., S, G., & Madappa, E. A. (2023). Early Detection of Breast Cancer using Versatile Techniques - A Study. Journal of Innovative Image Processing, 5(3), 270-289. https://doi.org/10.36548/jiip.2023.3.004
Copy Citation
Tippannavar, Sanjay S, et al. "Early Detection of Breast Cancer using Versatile Techniques - A Study." Journal of Innovative Image Processing, vol. 5, no. 3, 2023, pp. 270-289. DOI: 10.36548/jiip.2023.3.004.
Copy Citation
Tippannavar SS, D YS, S G, Madappa EA. Early Detection of Breast Cancer using Versatile Techniques - A Study. Journal of Innovative Image Processing. 2023;5(3):270-289. doi: 10.36548/jiip.2023.3.004
Copy Citation
S. S. Tippannavar, Y. S. D, G. S, and E. A. Madappa, "Early Detection of Breast Cancer using Versatile Techniques - A Study," Journal of Innovative Image Processing, vol. 5, no. 3, pp. 270-289, Sep. 2023, doi: 10.36548/jiip.2023.3.004.
Copy Citation
Tippannavar, S.S., D, Y.S., S, G. and Madappa, E.A. (2023) 'Early Detection of Breast Cancer using Versatile Techniques - A Study', Journal of Innovative Image Processing, vol. 5, no. 3, pp. 270-289. Available at: https://doi.org/10.36548/jiip.2023.3.004.
Copy Citation
@article{tippannavar2023,
  author    = {Sanjay S Tippannavar and Yashwanth S D and Gayathri S and Eshwari A Madappa},
  title     = {{Early Detection of Breast Cancer using Versatile Techniques - A Study}},
  journal   = {Journal of Innovative Image Processing},
  volume    = {5},
  number    = {3},
  pages     = {270-289},
  year      = {2023},
  publisher = {IRO Journals},
  doi       = {10.36548/jiip.2023.3.004},
  url       = {https://doi.org/10.36548/jiip.2023.3.004}
}
Copy Citation
Keywords
Breast Cancer detection mammography Machine Learning Image processing Mortality Signal Processing Artificial Intelligence
Published
28 October, 2023
×
Article Processing Charges

Journal of Innovative Image Processing (jiip) is an open access journal. When a paper is accepted for publication, authors are required to pay Article Processing Charges (APCs) to cover its editorial and production costs. The APC for each submission is 400 USD. There are no additional charges based on color, length, figures, or other elements.

Category Fee
Article Access Charge 30 USD
Article Processing Charge 400 USD
Annual Subscription Fee 200 USD
Payment Gateway
Paypal: click here
Townscript: click here
Razorpay: click here
After payment,
please send an email to irojournals.contact@gmail.com / journals@iroglobal.com requesting article access.
Subscription form: click here