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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 5 | Month- May 2024
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Paper Title
METHOD FOR DETECTION OF BREAST CANCER AMONG WOMEN USING WAVELET TRANSFORMS AND SUPPORT VECTOR MACHINE- A REVIEW
Authors
T.Thanavel, Dr.K.G.Padmasine
Keywords
Keywords: Breast cancer, Mammographic images, Wavelet transform, Curvelet transform, support vector machine.
Abstract
Abstract
Breast cancer is one of the most dangerous types of cancer among women all over world. In particularly the breast and ovarian cancer are most dangerous to women. The age between 40 - 60 have more risk of the breast cancer. Mammography is the method for early detection of the breast cancer some time it is difficult to the radiologists to detect the correct diagnostic sign like microcalcification and masses on the mammograms and the dense region in mammography images are noisy and low contrast. Here we propose a method to breast cancer detection and classification using wavelet transforms, Neural Network(ANN) and support vector machine(SVM). To evaluate this proposed method by transforming the data of the images in wavelet and curvelet basis, this transformation is done by using matlab software and MIAS (Mammographic Image Analysis society).
IJCRT's Publication Details
Unique Identification Number - IJCRT2012206
Paper ID - 201638
Page Number(s) - 1775-1780
Pubished in - Volume 8 | Issue 12 | December 2020
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
T.Thanavel, Dr.K.G.Padmasine, "METHOD FOR DETECTION OF BREAST CANCER AMONG WOMEN USING WAVELET TRANSFORMS AND SUPPORT VECTOR MACHINE- A REVIEW", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 12, pp.1775-1780, December 2020, Available at :http://www.ijcrt.org/papers/IJCRT2012206.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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