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Adaptive pixon represented segmentation (APRS) for 3D MR brain images based on mean shift and Markov random fields

  • Published:2011-05 Issue:7 Volume:32 Page:1036-1043
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Lin Lei,Garcia-Lorenzo Daniel,Li Chong,Jiang Tianzi,Barillot Christian

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference50 articles.

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3. On the statistical-analysis of dirty pictures;Besag;J. Roy. Statist. Soc. Ser. B – Methodol.,1986

4. A computational approach to edge-detection;Canny;IEEE Trans. Pattern Anal. Machine Intell.,1986

5. The reproducibility and sensitivity of brain tissue volume measurements derived from an SPM-based segmentation methodology;Chard;J. Magn. Reson. Imag.,2002

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2. Multi-Feature Fusion Aerial Image Segmentation in Complex Background;Proceedings of the 3rd International Conference on Vision, Image and Signal Processing;2019-08-26

3. A Novel Memory Gradient Based for Efficient Image Segmentation;Communications in Computer and Information Science;2017

4. Tissue Segmentation Methods Using 2D Histogram Matching in a Sequence of MR Brain Images;New Approaches in Intelligent Image Analysis;2016

5. Three-dimensional brain magnetic resonance imaging segmentation via knowledge-driven decision theory;Journal of Medical Imaging;2014-10-01
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