TY - JOUR
T1 - Automatic detection of malignant tumors on mammogram
AU - Kobatake, H.
AU - Yoshinaga, Y.
AU - Murakami, M.
N1 - Funding Information:
CR images used in this study belong to the Research Group on Computer-Assisted Diagnosis of Medical Images. The authors have received valuable advices and support from the members of the Research Group : Dr. Yukio Tateno, Dr. Takeshi Iinuma, Dr. Shigeru Nawano, Dr. Kunio Odagiri and the other members. The authors are grateful for their assistances. This work was supported in part by the Grant-in-Aid for Cancer Research from the Ministry of Health and Welfare, Japan.
Publisher Copyright:
© 1994 IEEE.
PY - 1994
Y1 - 1994
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.
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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 -
