T. Hara, D. Fukuoka, H. Fujita, T. Endo (Japan), and W.K. Moon (Korea)
breast, ultrasound, mass, cancer, computer-aided diagnosis, classification
We have developed a CAD system for masses on 3D
breast ultrasound images and estimated the preliminary
performance with about 200 cases. The detection and
classification methods were based on edge detection
and active balloon models to segment the mass regions.
Volume rendering technique was also applied to
prepare the 3D images to readers. It showed a good
classification performance as an initial result.
Especially, the classification performance showed a
good rate because the cases employed in classifications
scheme were difficult ones to discriminate by the
ultrasound images in a physician's opinion, however the
number of the case we used was not so large at this