Semantic of Automatically Generated Interval-Valued Memberships Functions in Brain Magnetic Resonance Images

Author:

Comas D. S.,Meschino G. J.,Ballarin V. L.

Publisher

Springer Nature Switzerland

Reference13 articles.

1. Wu, G., Shen, D., Sabuncu, M.R.: Machine Learning and Medical Imaging. Academic Press is an imprint of Elsevier, Amsterdam (2016)

2. Litjens, G., et al.: A survey on deep learning in medical image analysis. Med. Image Anal. 42, 60–88 (2017). https://doi.org/10.1016/J.MEDIA.2017.07.005

3. de Bruijne, M.: Machine learning approaches in medical image analysis: from detection to diagnosis. Med. Image Anal. 33, 94–97 (2016). https://doi.org/10.1016/j.media.2016.06.032

4. Comas, D.S., Meschino, G.J., Brun, M., Ballarin, V.L.: Label-based Type-2 Fuzzy Predicate Classification applied to the design of morphological W-operators for image processing. In: First Latin American Congress on Computational Intelligence, pp. 55–60. San Carlos de Bariloche, Argentina (2014)

5. Comas, D.S., Meschino, G.J., Costantino, S., Capiel, C., Ballarin, V.L.: Interval type-2 fuzzy predicates for brain magnetic resonance image segmentation. Rev. Argentina Bioingeniería. 21, 11–19 (2017)

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