Local Contrast Normalization to Improve Preprocessing in MRI of the Brain-Reference-Cited by-同舟云学术

Local Contrast Normalization to Improve Preprocessing in MRI of the Brain

Published:2021 Issue: Volume: Page:255-266
ISSN:0302-9743
Container-title:Bioengineering and Biomedical Signal and Image Processing
language:
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Author:

Placidi Giuseppe^ORCID,Polsinelli Matteo^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-88163-4_23

Reference32 articles.

1. Rinck, P.A.: European Magnetic Resonance Forum: Magnetic resonance in medicine: a critical introduction: the basic text book of the European Magnetic Resonance Forum (2019). ISBN 9783746095189

2. Kaur, A., Kaur, L., Singh, A.: State-of-the-art segmentation techniques and future directions for multiple sclerosis brain lesions. Arch. Comput. Methods Eng. 28(3), 951–977 (2020). https://doi.org/10.1007/s11831-020-09403-7

3. Placidi, G., Cinque, L., Polsinelli, M.: Guidelines for effective automatic multiple sclerosis lesion segmentation by magnetic resonance imaging. In: ICPRAM, pp. 570–577 (2020)

4. Placidi, G.: MRI: Essentials for Innovative Technologies, 1st edn. CRC Press, Boca Raton (2012)

5. Shinohara, R.T., Sweeney, E.M., et al.: Statistical normalization techniques for magnetic resonance imaging. NeuroImage: Clin. 6, 9–19 (2014)

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