Classification of Digital Mammogram based on Nearest-Neighbor Method for Breast Cancer Detection
Breast cancer can be detected using digital mammograms. In this research study, a system is designed to classify digital mammograms into two classes, namely normal and abnormal, using the k-Nearest Neighbor (kNN) method. Prior to classification, the region of interest (ROI) of a mammogram is cro...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2016-01-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | http://ijtech.eng.ui.ac.id/article/view/1572 |
| _version_ | 1797968421541904384 |
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| author | Anggrek Citra Nusantara Endah Purwanti Soegianto Soelistiono |
| author_facet | Anggrek Citra Nusantara Endah Purwanti Soegianto Soelistiono |
| author_sort | Anggrek Citra Nusantara |
| collection | DOAJ |
| description | Breast cancer can be
detected using digital mammograms. In this research study, a system is designed
to classify digital mammograms into two classes, namely normal and abnormal,
using the k-Nearest Neighbor (kNN) method. Prior to classification, the region
of interest (ROI) of a mammogram is cropped, and the feature is extracted using
the wavelet transformation method. Energy, mean, and standard deviation from
wavelet decomposition coefficients are used as input for the classification.
Optimal accuracy is obtained when wavelet decomposition level 3 is used with
the feature combination of mean and standard deviation. The highest accuracy,
sensitivity, and specificity of this method are 96.8%, 100%, and 95%,
respectively. |
| first_indexed | 2024-04-11T02:46:38Z |
| format | Article |
| id | doaj.art-77c70b635f2441099c7496c8756ec086 |
| institution | Directory Open Access Journal |
| issn | 2086-9614 2087-2100 |
| language | English |
| last_indexed | 2024-04-11T02:46:38Z |
| publishDate | 2016-01-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | International Journal of Technology |
| spelling | doaj.art-77c70b635f2441099c7496c8756ec0862023-01-02T17:52:56ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002016-01-0171717710.14716/ijtech.v7i1.15721572Classification of Digital Mammogram based on Nearest-Neighbor Method for Breast Cancer DetectionAnggrek Citra Nusantara0Endah Purwanti1Soegianto Soelistiono2Biomedical Engineering, Faculty of Science and Technology, Universitas Airlangga, Kampus C Universitas Airlangga, Surabaya 60115, IndonesiaBiomedical Engineering, Faculty of Science and Technology, Universitas Airlangga, Kampus C Universitas Airlangga, Surabaya 60115, IndonesiaBiomedical Engineering, Faculty of Science and Technology, Universitas Airlangga, Kampus C Universitas Airlangga, Surabaya 60115, IndonesiaBreast cancer can be detected using digital mammograms. In this research study, a system is designed to classify digital mammograms into two classes, namely normal and abnormal, using the k-Nearest Neighbor (kNN) method. Prior to classification, the region of interest (ROI) of a mammogram is cropped, and the feature is extracted using the wavelet transformation method. Energy, mean, and standard deviation from wavelet decomposition coefficients are used as input for the classification. Optimal accuracy is obtained when wavelet decomposition level 3 is used with the feature combination of mean and standard deviation. The highest accuracy, sensitivity, and specificity of this method are 96.8%, 100%, and 95%, respectively.http://ijtech.eng.ui.ac.id/article/view/1572Breast cancer, k-Nearest Neighbor, Mammogram, Wavelet transformation |
| spellingShingle | Anggrek Citra Nusantara Endah Purwanti Soegianto Soelistiono Classification of Digital Mammogram based on Nearest-Neighbor Method for Breast Cancer Detection International Journal of Technology Breast cancer, k-Nearest Neighbor, Mammogram, Wavelet transformation |
| title | Classification of Digital Mammogram based on Nearest-Neighbor Method for Breast Cancer Detection |
| title_full | Classification of Digital Mammogram based on Nearest-Neighbor Method for Breast Cancer Detection |
| title_fullStr | Classification of Digital Mammogram based on Nearest-Neighbor Method for Breast Cancer Detection |
| title_full_unstemmed | Classification of Digital Mammogram based on Nearest-Neighbor Method for Breast Cancer Detection |
| title_short | Classification of Digital Mammogram based on Nearest-Neighbor Method for Breast Cancer Detection |
| title_sort | classification of digital mammogram based on nearest neighbor method for breast cancer detection |
| topic | Breast cancer, k-Nearest Neighbor, Mammogram, Wavelet transformation |
| url | http://ijtech.eng.ui.ac.id/article/view/1572 |
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