A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery
Breast cancer is the most commonly occurring cancer in women worldwide. While mammography remains the gold standard in breast cancer screening, ultrasound is an important imaging modality for both screening and cancer diagnosis. This paper presents a novel method for the detection of breast lesions...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2019
|
| Subjects: |
| _version_ | 1825722222814167040 |
|---|---|
| author | Acharya, U. Rajendra Meiburger, Kristen M. Wei Koh, Joel En Ciaccio, Edward J. Arunkumar, N. See, Mee Hoong Mohd Taib, Nur Aishah Vijayananthan, Anushya Rahmat, Kartini Fadzli, Farhana Leong, Sook Sam Westerhout, Caroline Judy Chantre-Astaiza, Angela Ramirez-Gonzalez, Gustavo |
| author_facet | Acharya, U. Rajendra Meiburger, Kristen M. Wei Koh, Joel En Ciaccio, Edward J. Arunkumar, N. See, Mee Hoong Mohd Taib, Nur Aishah Vijayananthan, Anushya Rahmat, Kartini Fadzli, Farhana Leong, Sook Sam Westerhout, Caroline Judy Chantre-Astaiza, Angela Ramirez-Gonzalez, Gustavo |
| author_sort | Acharya, U. Rajendra |
| collection | UM |
| description | Breast cancer is the most commonly occurring cancer in women worldwide. While mammography remains the gold standard in breast cancer screening, ultrasound is an important imaging modality for both screening and cancer diagnosis. This paper presents a novel method for the detection of breast lesions in ultrasound images using texton filter banks, local configuration pattern features, and classification, without employing any segmentation technique. The developed method was able to accurately detect and classify breast lesions and achieved an accuracy, sensitivity, specificity, and positive predictive value of 96.1%, 96.5%, 95.3%, and 97.9%, respectively. The paradigm that we describe may, therefore, be useful as an effective tool to detect breast nodules during screening and in whole breast imaging, enabling clinicians to focus on images where a lesion is already known to be present. The developed method may also serve as a component for automatic breast nodule detection, and, when found, for the subsequent classification between lesion type benign versus malignant. © 2013 IEEE. |
| first_indexed | 2024-03-06T06:02:22Z |
| format | Article |
| id | um.eprints-24296 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T06:02:22Z |
| publishDate | 2019 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | um.eprints-242962020-05-18T02:50:21Z http://eprints.um.edu.my/24296/ A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery Acharya, U. Rajendra Meiburger, Kristen M. Wei Koh, Joel En Ciaccio, Edward J. Arunkumar, N. See, Mee Hoong Mohd Taib, Nur Aishah Vijayananthan, Anushya Rahmat, Kartini Fadzli, Farhana Leong, Sook Sam Westerhout, Caroline Judy Chantre-Astaiza, Angela Ramirez-Gonzalez, Gustavo R Medicine Breast cancer is the most commonly occurring cancer in women worldwide. While mammography remains the gold standard in breast cancer screening, ultrasound is an important imaging modality for both screening and cancer diagnosis. This paper presents a novel method for the detection of breast lesions in ultrasound images using texton filter banks, local configuration pattern features, and classification, without employing any segmentation technique. The developed method was able to accurately detect and classify breast lesions and achieved an accuracy, sensitivity, specificity, and positive predictive value of 96.1%, 96.5%, 95.3%, and 97.9%, respectively. The paradigm that we describe may, therefore, be useful as an effective tool to detect breast nodules during screening and in whole breast imaging, enabling clinicians to focus on images where a lesion is already known to be present. The developed method may also serve as a component for automatic breast nodule detection, and, when found, for the subsequent classification between lesion type benign versus malignant. © 2013 IEEE. Institute of Electrical and Electronics Engineers 2019 Article PeerReviewed Acharya, U. Rajendra and Meiburger, Kristen M. and Wei Koh, Joel En and Ciaccio, Edward J. and Arunkumar, N. and See, Mee Hoong and Mohd Taib, Nur Aishah and Vijayananthan, Anushya and Rahmat, Kartini and Fadzli, Farhana and Leong, Sook Sam and Westerhout, Caroline Judy and Chantre-Astaiza, Angela and Ramirez-Gonzalez, Gustavo (2019) A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery. IEEE Access, 7. pp. 22829-22842. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2019.2898121 <https://doi.org/10.1109/ACCESS.2019.2898121>. https://doi.org/10.1109/ACCESS.2019.2898121 doi:10.1109/ACCESS.2019.2898121 |
| spellingShingle | R Medicine Acharya, U. Rajendra Meiburger, Kristen M. Wei Koh, Joel En Ciaccio, Edward J. Arunkumar, N. See, Mee Hoong Mohd Taib, Nur Aishah Vijayananthan, Anushya Rahmat, Kartini Fadzli, Farhana Leong, Sook Sam Westerhout, Caroline Judy Chantre-Astaiza, Angela Ramirez-Gonzalez, Gustavo A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery |
| title | A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery |
| title_full | A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery |
| title_fullStr | A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery |
| title_full_unstemmed | A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery |
| title_short | A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery |
| title_sort | novel algorithm for breast lesion detection using textons and local configuration pattern features with ultrasound imagery |
| topic | R Medicine |
| work_keys_str_mv | AT acharyaurajendra anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT meiburgerkristenm anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT weikohjoelen anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT ciaccioedwardj anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT arunkumarn anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT seemeehoong anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT mohdtaibnuraishah anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT vijayananthananushya anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT rahmatkartini anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT fadzlifarhana anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT leongsooksam anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT westerhoutcarolinejudy anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT chantreastaizaangela anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT ramirezgonzalezgustavo anovelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT acharyaurajendra novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT meiburgerkristenm novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT weikohjoelen novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT ciaccioedwardj novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT arunkumarn novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT seemeehoong novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT mohdtaibnuraishah novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT vijayananthananushya novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT rahmatkartini novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT fadzlifarhana novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT leongsooksam novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT westerhoutcarolinejudy novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT chantreastaizaangela novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery AT ramirezgonzalezgustavo novelalgorithmforbreastlesiondetectionusingtextonsandlocalconfigurationpatternfeatureswithultrasoundimagery |