A fuzzy c-means (FCM) based algorithm for intensity inhomogeneity correction and segmentation of MR images

Magnetic resonance images are often corrupted by intensity inhomogeneity, which manifests itself as slow intensity variations of the same tissue over the image domain. Such shading artifacts must be corrected before doing computerized analysis such as intensity-based segmentation and quantitative an...

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Bibliographische Detailangaben

Hauptverfasser:	Chen, W., Giger, M.L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Breast cancer High-resolution imaging Image segmentation Iterative algorithms Low pass filters Magnetic analysis Magnetic resonance Magnetic resonance imaging Magnetic separation Radiology
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