Automatic detection of malignant tumors on mammogram

Author

Kobatake, Hidefumi ; Yoshinaga, Yukiyasu ; Murakami, Masayuki

Author_Institution

Fac. of Technol., Tokyo Univ. of Agric. & Technol., Japan

Volume

1

fYear

1994

fDate

13-16 Nov 1994

Firstpage

407

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

Keywords

adaptive filters; diagnostic radiography; image enhancement; image recognition; medical image processing; adaptive iris filter; automated detection; cancerous tumors; false positives per image; feature parameters; malignant tumors; mammogram; reliable identification; rounded opacities; shape analysis; true positive detection rate; two processing steps; Adaptive filters; Agriculture; Breast cancer; Iris; Joining processes; Lesions; Malignant tumors; Neoplasms; Shape measurement; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413345

Filename

413345