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Low signal noise ratio (SNR) of the ultrasound images makes the segmentation of fetal lung a difficult task. In this paper, a novel method using the texture-based boundary enhancement and active contour models is developed to semi-automatically segment the fetal lung from fetal chest ultrasound images. The texture-based boundary enhancement procedure is firstly proposed to enhance boundary regions...
Cell segmentation from microscopic images is the first stage of the automatic biomedical image processing, which plays a crucial role in the study of cell behavior and cell structure. In this paper, a novel approach is proposed to segment cells which are characterized as elliptical objects. Cell segmentation is implemented using an ellipse detection algorithm based on ellipse curve segmentation and...
Nowadays, observing target echo is becoming a very important way of detecting target. Among various kinds of characteristics about target echo to be measured, target strength can be got easily. In this paper, we introduce a model building of detecting the strength of target echo: segment the target surface into a lot of surface elements and then integral about them. With this model, we can calculate...
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