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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
Utilizing Convolutional Neural Networks and Support Vector Machines for Breast Cancer Prediction: A Comprehensive Machine Learning Approach
Authors
Prof Hemalta Mane, Sayali Pachpute, Somesh Sinha, Sujay Patil
Keywords
Machine Learning, Deep Learning, Detection, Diagnosis.
Abstract
Breast cancer represents a significant global health issue, with timely detection being paramount for treatment success. Over recent times, the fields of machine learning and deep learning have risen as crucial instruments, showcasing remarkable effectiveness in improving the accuracy and efficacy of breast cancer identification. This manuscript thoroughly investigates prior literature pertaining to the application of algorithms from machine learning (ML) and deep learning (DL) in the context of breast cancer detection. The examination encompasses diverse algorithms and measures of performance employed in these investigations. Furthermore, significant obstacles and prospective avenues for research advancement in this domain are deliberated upon.
IJCRT's Publication Details
Unique Identification Number - IJCRTAF02102
Paper ID - 260919
Page Number(s) - 512-515
Pubished in - Volume 12 | Issue 5 | May 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Prof Hemalta Mane, Sayali Pachpute, Somesh Sinha, Sujay Patil, "Utilizing Convolutional Neural Networks and Support Vector Machines for Breast Cancer Prediction: A Comprehensive Machine Learning Approach", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.512-515, May 2024, Available at :http://www.ijcrt.org/papers/IJCRTAF02102.pdf
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Volume 12 | Issue 7
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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