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In saliency object detection, inappropriate boundary-background priors is known to degrade performance in challenging image datasets, and even may lead to ‘inverse’ results when saliency regions are attached to the image boundaries. This is an active field where many works have proposed various techniques to lessen such degradation by inappropriate boundary-background priors. Although the use of boundary-background...
Automatic recognition of anatomical structures is an essential prerequisite in computer aided diagnoses (CAD) such as tissue segmentation, physiological signal measurement and disease classification. However, insufficient color and speckle information in medical images pose challenges to the recognition of anatomical structures. Such challenges are evident with prostate recognition on magnetic resonance...
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