書誌事項
- タイトル別名
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- Elimination of False-positive Mass Candidates Using Prewitt Filter in a Mammogram CAD System
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We have been developing an automated detection algorithm for masses on digital mammograms, but some larger areas remain as false-positive candidates. In this paper, we propose a simple method based on edge analysis by using a Prewitt filter to improve detection performance in terms of eliminating false-positive candidates. Edge patterns extracted within normal mammary-gland regions tend to be complex ones because of the presence of funicular components. On the other hand, patterns within malignant mass shadows tend to be white, plane surfaces owing to their high x-ray absorption ratio. By comparing these different features between masses and normal patterns, false-positive masses were eliminated. As a result of incorporating this method into our previous detection scheme, the number of false-positives decreased from 0.93 to 0.78 per image while maintaining the same true-positive rate. It was concluded that our improved scheme is effective for eliminating false mass candidates basically including edge patterns with larger mass area.
収録刊行物
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- 日本放射線技術学会雑誌
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日本放射線技術学会雑誌 56 (3), 449-454, 2000
公益社団法人 日本放射線技術学会
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詳細情報 詳細情報について
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- CRID
- 1390282681366401024
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- NII論文ID
- 10007870498
- 110003439017
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- NII書誌ID
- AN00197784
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- ISSN
- 18814883
- 03694305
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- 本文言語コード
- en
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- データソース種別
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- JaLC
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- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可