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CORRECTION article
Front. Comput. Neurosci.
Volume 19 - 2025 | doi: 10.3389/fncom.2025.1570979
This article is a correction to:
An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique
The final, formatted version of the article will be published soon.
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The above mentioned paragraph should be cited at the end with the following references. The above should be cited at the end with the following references.[Gaillard F, Glioblastoma. Case study, Radiopaedia.org (Accessed on 22 July 2023) https://doi.org/10.53347/rID-63888] The above paragraph should be cited at the end with the following references. The above paragraph should be cited at the end with the following references. The above paragraph should be cited at the end with the following references. The above paragraph should be cited at the end with the following references, and the title The above paragraph should be cited at the end with the following references.PAGE \* Arabic \* MERGEFORMAT 3In the published article, there was an error in [Figure 1] as published. [Pituitary Adenoma and Medulloblastomas] are mislabeled.In the published article in [Figure 1 In the published article, there was an error in [
Keywords: brain tumor, deep learning, Pattern detection, Neuroscience, Segmentation technique, Convolution Neural Network, binary convolution neural network, Magnetic resonance images
Received: 04 Feb 2025; Accepted: 13 Feb 2025.
Copyright: © 2025 Zeb. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Asim Zeb, Abbottabad University of Science & Technology, Abbottabad, Pakistan
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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