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Dermoscopy image is usually used in early diagnosis of malignant melanoma. The diagnosis accuracy by visual inspection is highly relied on the dermatologist's clinical experience. Due to the inaccuracy, subjectivity, and poor reproducibility of human judgement, an automatic recognition algorithm of dermoscopy image is highly desired. In this work, we present a hybrid classification framework for dermoscopy...
In this paper, a new method is proposed to automatically stage the placental maturity from B-mode ultrasound (US) images based on multi-layer Fisher vector (MFV) and densely sampled visual features. The proposed method first densely extracts visual features at a regular grid based on dense sampling instead of a few unreliable interest points. These features are clustered using generative Gaussian...
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