A novel fuzzy clustering algorithm by minimizing global and spatially constrained likelihood-based local entropies for noisy 3D brain MR image segmentation-Reference-Cited by-同舟云学术

A novel fuzzy clustering algorithm by minimizing global and spatially constrained likelihood-based local entropies for noisy 3D brain MR image segmentation

Published:2020-05 Issue: Volume:90 Page:106171
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Mahata Nabanita,Sing Jamuna Kanta^ORCID

Funder

SERB, Govt. of India

Publisher

Elsevier BV

Subject

Software

Reference26 articles.

1. A review of methods for correction of intensity inhomogeneity in MRI;Vovk;IEEE Trans. Med. Imaging,2007

2. A review on MR image intensity inhomogeneity correction;Hou;Int. J. Biomed. Imaging,2006

3. Review of brain MRI image segmentation methods;Balafar;J. Artif. Intell.,2010

4. Intensity non-uniformity correction in MRI: Existing methods and their validation;Belaroussi;Med. Image Anal.,2006

5. State-of-the-art methods for brain tissue segmentation: A review;Dora;IEEE Rev. Biomed. Eng.,2017

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