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.
| Original language | English |
|---|---|
| Article number | 413345 |
| Pages (from-to) | 407-410 |
| Number of pages | 4 |
| Journal | Proceedings - International Conference on Image Processing, ICIP |
| Volume | 1 |
| DOIs | |
| Publication status | Published - Jan 1 1994 |
| Externally published | Yes |
| Event | Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA Duration: Nov 13 1994 → Nov 16 1994 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Software
- Computer Vision and Pattern Recognition
- Signal Processing
Cite this
Automatic detection of malignant tumors on mammogram. / Kobatake, H.; Yoshinaga, Y.; Murakami, M.
In: Proceedings - International Conference on Image Processing, ICIP, Vol. 1, 413345, 01.01.1994, p. 407-410.Research output: Contribution to journal › 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 -