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Automated Extraction of Pectoral-muscle Region on Mammogram
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- NAKAGAWA Toshiaki
- Graduate School of Engineering, Gifu University
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- KASAI Satoshi
- Konica Corporation, Medical and Graphic Company
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- HARA Takeshi
- Graduate School of Engineering, Gifu University
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- FUJITA Hiroshi
- Graduate School of Engineering, Gifu University
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- ENDO Tokiko
- Department of Radiology, National Hospital of Nagoya
Bibliographic Information
- Other Title
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- 乳房X線画像における胸筋領域自動抽出法
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Description
We have been developing a computer-aided diagnosis (CAD) system for mammagrams. The system detects mammographic masses based on a thresholding technique depending on an automated classification result of mammographic parenchymal patterns. However, it became apparent that the extraction results of pectoral-muscle region had a great influence on the classification categories. In this study, therefore, a new method of extracting the pectoralmuscle region was developed, which divides pectoral-muscle region from mammary region in the mammogram. Pectoral-muscle region was determined on edge-enhanced image obtained by Prewitt filter, by searching a boundary of these two regions. The boundaries in 502 of 513(98%) were extracted correctly by employing 513 images. These results demonstrated that the new algorithm developed may be effective to improve the performance of our CAD system.
Journal
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- Medical Imaging and Information Sciences
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Medical Imaging and Information Sciences 18 (1), 39-45, 2001
Medical Imaging and Information Sciences
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Details 詳細情報について
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- CRID
- 1390282680431459328
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- NII Article ID
- 130004647624
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- ISSN
- 09101543
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed