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A tapped delay neural network (TDNN) with an adaptive learning and pruning algorithm is proposed to predict the nonlinear time serial stock indexes. The TDNN is trained by the recursive least square… (More)
Based on seed region growing method, lesion segmentation for ultrasound breast tumor images often requires manual selection of the seed point, which is both time-consuming and laborious. To overcome… (More)
A textural feature extraction algorithm was proposed to automatically find candidate objects in the selected volume of interest (VOI) and compute textural features on multiplanar images for… (More)
Automatic breast ultrasound (BUS) lesions segmentation based on seeded region growing (SRG) algorithm needs to solve two critical procedures: automatic selection of seed points and the segmentation… (More)