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Temporal alignment aligns two temporal sequences and is quite challenging due to drastic differences among temporal sequences and source data from different views. Canonical time warping (CTW) has shown great potential in temporal alignment tasks because it can reduce data redundancy by transforming high-dimensional data to a lower-dimensional subspace via canonical correlation analysis (CCA). However,...
A computerized classification based on morphologic and texture features is proposed to increase the accuracy of the ultrasonic diagnosis of breast tumors. Firstly, tumor boundaries are obtained with the gray-level threshold segmentation algorithm and the dynamic programming method. Then five morphologic features and two texture features are extracted. Finally, an artificial neural network with the...
The accurate boundary extraction is an essential preprocessing step for computerized analysis of a breast ultrasonic image. In this study, a novel approach based on the wavelet transform and the dynamic programming is proposed to extract tumor boundaries from breast ultrasonic images. Firstly, a rectangular region-of-interest (ROI) is manually selected from the ultrasonic image, followed by the ROI-based...
The accurate boundary extraction is an essential preprocessing step for computerized analysis of a breast ultrasonic image. In this study, a novel approach based on the wavelet transform and the dynamic programming is proposed to extract tumor boundaries from breast ultrasonic images. Firstly, a rectangular region-of-interest (ROI) is manually selected from the ultrasonic image, followed by the ROI-based...
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