bus-segmentation
MATLAB implementation to segment breast lesions in ultrasound images
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The main objective of this project is to segment different breast ultrasound images to find out lesion area by discarding the low contrast regions as well as the inherent speckle noise. The proposed method consists of three stages (removing noise, segmentation, classification) in order to extract the correct lesion. We used normalized cuts approach to segment ultrasound images into regions of interest where we can possibly finds the lesion, and then K-means classifier is applied to decide finally the location of the lesion. For every original image, an annotated ground-truth image is given to perform comparison with the obtained experimental results, providing accurate evaluation measures.
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Breast lesion detection in ultrasound video is critical for computer-aid...
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Ultrasound imaging plays an important role in breast lesion differentiat...
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Ultrasound image diagnosis of breast tumors has been widely used in rece...
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An approach to lesion recognition is described that for lesion localizat...
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Quantifying the accuracy of segmentation and manual delineation of organ...
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Ultrasound (US) is one of the most commonly used imaging modalities in b...
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The accurate detection of lesion attributes is meaningful for both the
c...
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MATLAB implementation to segment breast lesions in ultrasound images
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