Automatic detection of malignant tumors on mammogram

H. Kobatake; Y. Yoshinaga; M. Murakami

doi:10.1109/ICIP.1994.413345

Automatic detection of malignant tumors on mammogram

H. Kobatake, Y. Yoshinaga, M. Murakami

研究成果: Contribution to journal › Conference article › 査読

16 被引用数 (Scopus)

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.

本文言語	英語
論文番号	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	https://doi.org/10.1109/ICIP.1994.413345
出版ステータス	出版済み - 1 1 1994
外部発表	はい
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

All Science Journal Classification (ASJC) codes

Software
Computer Vision and Pattern Recognition
Signal Processing

文献へのアクセス

10.1109/ICIP.1994.413345

フィンガープリント「Automatic detection of malignant tumors on mammogram」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル

@article{ccb7a9ae0d6442fd86dfff6b0575ddc5,

title = "Automatic detection of malignant tumors on mammogram",

abstract = "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.",

author = "H. Kobatake and Y. Yoshinaga and M. Murakami",

year = "1994",

month = jan,

day = "1",

doi = "10.1109/ICIP.1994.413345",

language = "English",

volume = "1",

pages = "407--410",

journal = "Proceedings - International Conference on Image Processing, ICIP",

issn = "1522-4880",

note = "Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) ; Conference date: 13-11-1994 Through 16-11-1994",

}

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

T2 - Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3)

Y2 - 13 November 1994 through 16 November 1994

ER -