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Denoising Approaches Using Fuzzy Logic and Convolutional Autoencoders for Human Brain MRI Image

Research article (International Journal of Fuzzy Logic and Intelligent Systems, 2019) · cited 19× · AI/ML
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Denoising Approaches Using Fuzzy Logic and Convolutional Autoencoders for Human Brain MRI Image

Summary

Denoising Approaches Using Fuzzy Logic and Convolutional Autoencoders for Human Brain MRI Image is a scholarly article[1].

Key Facts

  • Denoising Approaches Using Fuzzy Logic and Convolutional Autoencoders for Human Brain MRI Image's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Denoising Approaches Using Fuzzy Logic and Convolutional Autoencoders for Human Brain MRI Image. Retrieved May 24, 2026, from https://4ort.xyz/entity/denoising-approaches-using-fuzzy-logic-and-convolutional-autoencoders-for-human-brain-mri-image
MLA “Denoising Approaches Using Fuzzy Logic and Convolutional Autoencoders for Human Brain MRI Image.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/denoising-approaches-using-fuzzy-logic-and-convolutional-autoencoders-for-human-brain-mri-image.
BibTeX @misc{4ortxyz_denoising-approaches-using-fuzzy-logic-and-convolutional-autoencoders-for-human-brain-mri-image_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Denoising Approaches Using Fuzzy Logic and Convolutional Autoencoders for Human Brain MRI Image}}, year = {2026}, url = {https://4ort.xyz/entity/denoising-approaches-using-fuzzy-logic-and-convolutional-autoencoders-for-human-brain-mri-image}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Denoising Approaches Using Fuzzy Logic and Convolutional Autoencoders for Human Brain MRI Image — https://4ort.xyz/entity/denoising-approaches-using-fuzzy-logic-and-convolutional-autoencoders-for-human-brain-mri-image (retrieved 2026-05-24)

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