| Presentation | 2008/10/23 Automated Extraction of Breast Tumors in Ultrasonic Images based on Ensemble Segmentation Atshushi TAKEMURA, Akinobu SHIMIZU, Kazuhiko HAMAMOTO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a novel segmentation method of breast tumors, namely carcinoma, fibroadenoma and cyst, to construct an fully automated diagnosis algorithm of breast tumors in ultrasonic images. We developed a discrimination algorithm of breast tumors whose boundaries were delineated by a human observer from original ultrasonic images. By combining a proposed segmentation process with the discrimination algorithm, we can realize a fully automated diagnosis algorithm. We propose a novel method that concatenates an ensemble segmentation trained by the AdaBoost with a geodesic active contour. When applying the proposed system to 200 carcinomas, 50 fibroadenomas and 50 cycts, it was confirmed that an average Jaccard index between the extracted tumors and manually segmented regions is over 97%. Furthermore, the discrimination performance of the proposed fully automated process was almost comparable to that of the previous discrimination algorithm that needs manually segmented breast tumors. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ultrasonic image / breast tumor / segmentation / AdaBoost / geodesic active contour |
| Paper # | MI2008-52 |
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| Committee | MI |
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| Conference Date | 2008/10/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Medical Imaging (MI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Automated Extraction of Breast Tumors in Ultrasonic Images based on Ensemble Segmentation |
| Sub Title (in English) | |
| Keyword(1) | ultrasonic image |
| Keyword(2) | breast tumor |
| Keyword(3) | segmentation |
| Keyword(4) | AdaBoost |
| Keyword(5) | geodesic active contour |
| 1st Author's Name | Atshushi TAKEMURA |
| 1st Author's Affiliation | Institute of Symbiotic Science and Technology, Tokyo University of Agriculture and Technology() |
| 2nd Author's Name | Akinobu SHIMIZU |
| 2nd Author's Affiliation | Institute of Symbiotic Science and Technology, Tokyo University of Agriculture and Technology |
| 3rd Author's Name | Kazuhiko HAMAMOTO |
| 3rd Author's Affiliation | School of Information and Telecommunication Engineering, Tokai University |
| Date | 2008/10/23 |
| Paper # | MI2008-52 |
| Volume (vol) | vol.108 |
| Number (no) | 271 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |