| Presentation | 2001/1/19 A Computerized Automatic Classification Scheme for Mammograms Based on the Assessment of Fibroglandular Breast Tissue Density Tomoko MATSUBARA, Daisuke YAMAZAKI, Masahiro KATO, Takeshi HARA, Hiroshi FUJITA, Takuji IWASE, Tokiko ENDO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is very important to assess fibroglandular breast tissue to define the degree of risk of the lesions being obscured by normal breast tissue. We developed an automated classification method for mammograms, in which the mammograms were divided into three regions by both the variance histogram analysis and discriminant analysis, and were classified into four categories based on the rate of each of three regions. The classification results by the normal images showed the high agreement rate between physicians and computer. As a result of malignant images' classification in the present study, the influence of existence of mass regions to classification results is dependent on not only mass sizes but also these positions. Because the rate of different classifications of right and left images in malignant database is larger than that in normal one, it may be possible to apply this scheme for potential indication of the detection of mass lesions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | mammogram / image analysis / automated classification / breast cancer / fibroglandular breast tissue density |
| Paper # | MI2000-79 |
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| Conference Information | |
| Committee | MI |
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| Conference Date | 2001/1/19(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) | A Computerized Automatic Classification Scheme for Mammograms Based on the Assessment of Fibroglandular Breast Tissue Density |
| Sub Title (in English) | |
| Keyword(1) | mammogram |
| Keyword(2) | image analysis |
| Keyword(3) | automated classification |
| Keyword(4) | breast cancer |
| Keyword(5) | fibroglandular breast tissue density |
| 1st Author's Name | Tomoko MATSUBARA |
| 1st Author's Affiliation | Department of Information Culture, School of Information Culture, Nagoya Bunri University() |
| 2nd Author's Name | Daisuke YAMAZAKI |
| 2nd Author's Affiliation | Department of Information Science, Faculty of Engineering, Gifu University |
| 3rd Author's Name | Masahiro KATO |
| 3rd Author's Affiliation | Department of Information Science, Faculty of Engineering, Gifu University |
| 4th Author's Name | Takeshi HARA |
| 4th Author's Affiliation | Department of Information Science, Faculty of Engineering, Gifu University |
| 5th Author's Name | Hiroshi FUJITA |
| 5th Author's Affiliation | Department of Information Science, Faculty of Engineering, Gifu University |
| 6th Author's Name | Takuji IWASE |
| 6th Author's Affiliation | Department of Breast Surgery, Aichi Cancer Center Hospital |
| 7th Author's Name | Tokiko ENDO |
| 7th Author's Affiliation | Department of Radiology, National Hospital of Nagoya |
| Date | 2001/1/19 |
| Paper # | MI2000-79 |
| Volume (vol) | vol.100 |
| Number (no) | 597 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |