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Retraction Note: An effective tumor detection approach using denoised MRI based on fuzzy bayesian segmentation approach

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Bibliographic Details
Published in:International Journal of Speech Technology
Format: Online Article RSS Article
Published: 2026
Subjects:
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FRELIP Feed Integration
container_title International Journal of Speech Technology
description
discipline_display Linguistics and Philology
discipline_facet Linguistics and Philology
format Online Article
RSS Article
genre Journal Article
id rss_article:64354
institution FRELIP
journal_source_facet International Journal of Speech Technology
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Retraction Note: An effective tumor detection approach using denoised MRI based on fuzzy bayesian segmentation approach
Linguistics and Philology
General
Linguistics and Philology
sub_discipline_display General
sub_discipline_facet General
subject_display Linguistics and Philology
General
Linguistics and Philology
Linguistics and Philology
General
Linguistics and Philology
subject_facet Linguistics and Philology
General
Linguistics and Philology
title Retraction Note: An effective tumor detection approach using denoised MRI based on fuzzy bayesian segmentation approach
title_auth Retraction Note: An effective tumor detection approach using denoised MRI based on fuzzy bayesian segmentation approach
title_full Retraction Note: An effective tumor detection approach using denoised MRI based on fuzzy bayesian segmentation approach
title_fullStr Retraction Note: An effective tumor detection approach using denoised MRI based on fuzzy bayesian segmentation approach
title_full_unstemmed Retraction Note: An effective tumor detection approach using denoised MRI based on fuzzy bayesian segmentation approach
title_short Retraction Note: An effective tumor detection approach using denoised MRI based on fuzzy bayesian segmentation approach
title_sort retraction note: an effective tumor detection approach using denoised mri based on fuzzy bayesian segmentation approach
topic Linguistics and Philology
General
Linguistics and Philology
url https://link.springer.com/article/10.1007/s10772-026-10263-y