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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Paper Title: CLASSIFICATION OF BENIGN AND MALIGNANT BREAST TUMORS IN DIGITAL MAMMOGRAMS USING DIFFERENT WAVELET TRANSFORMS
Authors Name: Adapureddi Krishna Veni , Ummadi Sathish Kumar
Unique Id: IJSDR1707048
Published In: Volume 2 Issue 7, July-2017
Abstract: Breast cancer is the leading cause of most deaths in the world. This paper deals with classification of Breast cancer, i.e. benign or malignant based on coefficients extracted from multiresolution analysis based on five different wavelet functions Biorthogonal 3.5, coifelts 3, Daubechies 4 and Symlets 3. In this paper 80 Region of Interest (ROI’s) from The Mammographic image analysis society(MIAS). The coefficients which extract the texture information from the ROI’s of Mammogram are given as an input to the KNN classifier. The performance of the system is evaluated using Receiver Operating Characteristic curve (ROC). Experimental results show that the area under the curve (AUC) is Az=0.90.
Keywords: Breast Cancer, DWT, KNN, MIAS
Cite Article: "CLASSIFICATION OF BENIGN AND MALIGNANT BREAST TUMORS IN DIGITAL MAMMOGRAMS USING DIFFERENT WAVELET TRANSFORMS", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 7, page no.293 - 296, July-2017, Available :http://www.ijsdr.org/papers/IJSDR1707048.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR1707048
Registration ID:170660
Published In: Volume 2 Issue 7, July-2017
DOI (Digital Object Identifier):
Page No: 293 - 296
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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