ROC analysis of ultrasound tissue characterization classifiers for breast cancer diagnosis.

Breast cancer diagnosis through ultrasound tissue characterization was studied using receiver operating characteristic (ROC) analysis of combinations of acoustic features, patient age, and radiological findings. A feature fusion method was devised that operates even if only partial diagnostic data a...

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Bibliographic Details
Published in:	IEEE Transactions on medical imaging 22, 2 (2003).
Main Author:	Gefen, S.
Format:	Article
Language:	English
Subjects:	ROC analysis. Acoustic features. Benign breast lesions. Biopsies. Bootstrap resampling. Breast cancer diagnosis. Clinical findings. Combined diagnostic feature. Confidence interval. Confidence intervals. Feature fusion method. Ordinal dominance theory. Paired data analyses. Partial diagnostic data. Patient age. Patient record. Prebiopsy radiological findings. Radiological findings. Receiver operating characteristic analysis. Significance level. Simple data analyses. Statistically significant improvement. Ultrasound tissue characterization classifiers.