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Due to the low contrast and ambiguous boundaries of the tumors in breast ultrasound (BUS) images, it is still a challenging task to automatically segment the breast tumors from the ultrasound. In this paper, we proposed a novel computational framework that can detect and segment breast lesions fully automatic in the whole ultrasound images. This framework includes several key components: pre-processing,...
Reducing the speckle noise in ultrasound images plays an important role in image post-processing, e.g. image segmentation, edge detection and image registration. In this paper, a novel filtering method based on extreme learning machine (ELM) is proposed for ultrasound image denoising. We aim at generating a denoising model learned from the input samples. In the training step, pixel features from the...
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