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Morphological exponential entropy driven-HUM.

Edoardo Ardizzone1, Roberto Pirrone, Orazio Gambino

  • 1Dept. of Comput. Sci., Palermo Univ. ardizzon@unipa.it

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|October 20, 2007
PubMed
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This study improves the exponential entropy driven-homomorphic unsharp masking (E(2)D-HUM) algorithm for magnetic resonance image artifact suppression. The enhanced method removes the need for image segmentation, simplifying artifact removal.

Failed At:

2026-06-19T13:42:17.917638+00:00

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