抄録
The automated detection system consists of two processing steps. The first processing is to enhance cancerous tumors. For the purpose, the adaptive iris filter has been developed, which can enhance only rounded opacities and is insensitive to long and slender shadows. The second one is to discriminate between malignant tumors and the others by applying shape analysis to the tumor candidates. Nine feature parameters have been developed for reliable identification of malignant tumors. Experiments to test the performance of the proposed system have been made. The average number of false positives per image is only 0.18 where the true positive detection rate is 100%. These experimental results have shown the effectiveness of the proposed system.
| 元の言語 | 英語 |
|---|---|
| 記事番号 | 413345 |
| ページ（範囲） | 407-410 |
| ページ数 | 4 |
| ジャーナル | Proceedings - International Conference on Image Processing, ICIP |
| 巻 | 1 |
| DOI | |
| 出版物ステータス | 出版済み - 1 1 1994 |
| 外部発表 | Yes |
| イベント | Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA 継続期間: 11 13 1994 → 11 16 1994 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Vision and Pattern Recognition
- Signal Processing
これを引用
Automatic detection of malignant tumors on mammogram. / Kobatake, H.; Yoshinaga, Y.; Murakami, M.
：: Proceedings - International Conference on Image Processing, ICIP, 巻 1, 413345, 01.01.1994, p. 407-410.研究成果: ジャーナルへの寄稿 › Conference article
}
TY - JOUR
T1 - Automatic detection of malignant tumors on mammogram
AU - Kobatake, H.
AU - Yoshinaga, Y.
AU - Murakami, M.
PY - 1994/1/1
Y1 - 1994/1/1
N2 - The automated detection system consists of two processing steps. The first processing is to enhance cancerous tumors. For the purpose, the adaptive iris filter has been developed, which can enhance only rounded opacities and is insensitive to long and slender shadows. The second one is to discriminate between malignant tumors and the others by applying shape analysis to the tumor candidates. Nine feature parameters have been developed for reliable identification of malignant tumors. Experiments to test the performance of the proposed system have been made. The average number of false positives per image is only 0.18 where the true positive detection rate is 100%. These experimental results have shown the effectiveness of the proposed system.
AB - The automated detection system consists of two processing steps. The first processing is to enhance cancerous tumors. For the purpose, the adaptive iris filter has been developed, which can enhance only rounded opacities and is insensitive to long and slender shadows. The second one is to discriminate between malignant tumors and the others by applying shape analysis to the tumor candidates. Nine feature parameters have been developed for reliable identification of malignant tumors. Experiments to test the performance of the proposed system have been made. The average number of false positives per image is only 0.18 where the true positive detection rate is 100%. These experimental results have shown the effectiveness of the proposed system.
UR - http://www.scopus.com/inward/record.url?scp=84997503488&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84997503488&partnerID=8YFLogxK
U2 - 10.1109/ICIP.1994.413345
DO - 10.1109/ICIP.1994.413345
M3 - Conference article
AN - SCOPUS:84997503488
VL - 1
SP - 407
EP - 410
JO - Proceedings - International Conference on Image Processing, ICIP
JF - Proceedings - International Conference on Image Processing, ICIP
SN - 1522-4880
M1 - 413345
ER -