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Investigation of psychophysical measure for evaluation of similar images for mammographic masses: preliminary results.
Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network.
Usefulness of computer-aided diagnosis schemes for vertebral fractures and lung nodules on chest radiographs.
Computer-aided diagnosis of focal liver lesions by use of physicians' subjective classification of echogenic patterns in baseline and contrast-enhanced ultrasonography.
Development of a computer-aided diagnostic scheme for detection of interval changes in successive whole-body bone scans.
Computer-aided diagnosis and artificial intelligence in clinical imaging.
How can a massive training artificial neural network (MTANN) be trained with a small number of cases in the distinction between nodules and vessels in thoracic CT?
Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN).
Determination of similarity measures for pairs of mass lesions on mammograms by use of BI-RADS lesion descriptors and image features.
Subjective similarity of patterns of diffuse interstitial lung disease on thin-section CT: an observer performance study.
Computer-aided diagnosis scheme for identifying histological classification of clustered microcalcifications by use of follow-up magnification mammograms.
Computer-aided diagnosis scheme for histological classification of clustered microcalcifications on magnification mammograms.
Computerized detection of diffuse lung disease in MDCT: the usefulness of statistical texture features.
Automatic detection of abnormalities in chest radiographs using local texture analysis.