Automatic detection of malignant tumors on mammogram

H. Kobatake, Y. Yoshinaga, M. Murakami

Research output: Contribution to journalConference articlepeer-review

16 Citations (Scopus)

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 languageEnglish
Article number413345
Pages (from-to)407-410
Number of pages4
JournalProceedings - International Conference on Image Processing, ICIP
Volume1
DOIs
Publication statusPublished - Jan 1 1994
Externally publishedYes
EventProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA
Duration: Nov 13 1994Nov 16 1994

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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