Computer-aided Detection for Spiculated Architectural Distortion on Mammograms

• MATSUBARA Tomoko

  School of Information Culture, Nagoya Bunri University

• SHIBATA Yuuki

  Faculty of Engineering, Gifu University

• HARA Takeshi

  Graduate School of Medicine, Gifu University

• FUJITA Hiroshi

  Graduate School of Medicine, Gifu University

• ENDO Tokiko

  National Hospital Organization Nagoya Medical Center

• IWASE Takuji

  Cancer Institute Hospital

抄録

We have developed an automated detection method for architectural distortion that is difficult to diagnose breast cancer. In our previous method, it was difficult to detect an architectural distortion with very thin mammary glands. We suggest the improved method using multi-resolution images in extracting the mammary gland in order to achieve higher sensitivity. As a result, the detection performance of our new method showed better than that of the previous method.

収録刊行物

• 電子情報通信学会技術研究報告. MI, 医用画像

  電子情報通信学会技術研究報告. MI, 医用画像 108 (385), 639-640, 2009-01-12

  一般社団法人電子情報通信学会

キーワード

• Breast cancer
• Architectural distortion
• Mammogram
• Computer-aided detection

詳細情報

• CRID: 1573668927328807168
• NII論文ID: 110007122999
• NII書誌ID: AA11370335
• 本文言語コード: en
• データソース種別:
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