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Ipsilateral-mammogram computer-aided detection helps reduce false positives.
2004 JUL 1 - (NewsRx.com & NewsRx.net) -- Ipsilateral multi-view computer-aided detection (CAD) used with concurrent analysis results in fewer false-positive diagnoses than the current single-view CAD system, study results show.
In the journal Computerized Medical Imaging and Graphics, researchers at the H. Lee Moffitt Cancer Center & Research Institute presented "an ipsilateral multi-view computer-aided detection (CAD) scheme ... for mass detection in digital mammograms by exploiting correlative information of suspicious lesions between mammograms of the same breast."
They explained, "After nonlinear tree-structured filtering for image noise suppression, two wavelet-based methods, directional wavelet transform and tree-structured wavelet transform for image enhancement, and adaptive fuzzy C-means algorithm for segmentation are employed on each mammogram of the same breast, respectively.
"Concurrent analysis is developed for iterative analysis of ipsilateral multi-view mammograms by inter-projective feature matching analysis. [And a] supervised artificial neural network is developed as a classifier, in which the back-propagation algorithm combined with Kalman filtering is used as training algorithm, and free-response receiver operating characteristic analysis is used to test the performance of ...
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Source: HighBeam Research, Ipsilateral-mammogram computer-aided detection helps reduce false...