A multiscale algorithm for segmenting calcifications from high-resolution mammographic specimen radiographs.
We have developed a multiscale algorithm for segmenting breast calcifications from high-resolution specimen radiographs. The algorithm was evaluated using 152 mammographic regions of interest digitized at a 15-microm spatial resolution. The true-positive detection rate was approximately 97.4% with 0.67 false-positives per image, and the segmentation error of individual calcification particles was approximately 5%. The performance of the algorithm is highly satisfactory.
Näppi
J
J
Turku Centre for Computer Science, University of Turku, Finland. janne.nappi@cs.utu.fi
Dean
P B
PB
D000465:Algorithms; D005260:Female; D006801:Humans; D008327:Mammography; D011856:Radiographic Image Enhancement; D011857:Radiographic Image Interpretation, Computer-Assisted; D011858:Radiographic Magnification; D012680:Sensitivity and Specificity