Premium
Breast ultrasonography: computer‐aided diagnosis using fuzzy inference.
Author(s) -
Koyama S,
Obata Y,
Shimamoto K,
Ishigaki T,
Ishii N,
Isomoto Y,
Yoshine K
Publication year - 1997
Publication title -
journal of ultrasound in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 91
eISSN - 1550-9613
pISSN - 0278-4297
DOI - 10.7863/jum.1997.16.10.665
Subject(s) - medicine , radiology , ultrasonography , fuzzy inference system , malignancy , breast cancer , inference , artificial intelligence , posterior probability , fuzzy logic , pattern recognition (psychology) , adaptive neuro fuzzy inference system , cancer , pathology , bayesian probability , computer science , fuzzy control system
On the basis of detailed analysis of ultrasonographic features in 105 breast masses (55 malignant, 50 benign), a computer‐aided diagnostic system using fuzzy inference has been developed. Ultrasonographic features of a mass for the input data included shape, border, halo (boundary echoes), internal echoes, posterior echoes, and edge shadows (bilateral shadows). The probability of malignancy was described by an actual number ranging from 0.0 to 1.0. The algorithm of inference was constructed, and a sensitivity of 94.5% and specificity of 76.0% for cancer diagnosis were obtained.