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IETE Journal of Research Volume 69, 2023 - Issue 12
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Medical electronics

Modified CNN Architecture for Efficient Classification of Glioma Brain Tumour

J. Angelin JebaDepartment of Electronics and Communication Engineering, CEG campus, Anna University, Chennai, 600 025ORCID Iconhttps://orcid.org/0000-0001-6297-4220View further author information
ORCID Icon,
S. Nirmala DeviDepartment of Electronics and Communication Engineering, CEG campus, Anna University, Chennai, 600 025View further author information
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M. MeenaDepartment of Electronics and Communication Engineering, CEG campus, Anna University, Chennai, 600 025View further author information
Pages 9310-9323 | Published online: 10 Aug 2022

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S. Shargunam & G. Rajakumar. (2024) An efficient glioma classification and grade detection using hybrid convolutional neural network-based SVM model. The Imaging Science Journal 72:1, pages 1-22.
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J. Angelin Jeba & S. Nirmala Devi. (2023) An Efficient Deep Convolutional Neural Network for Automatic Detection of FDG Uptakes in Fused PET/CT Images. IETE Journal of Research 0:0, pages 1-15.
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Articles from other publishers (2)

G. Valarmathi & S. Nirmala Devi. (2023) Automatic localization and classification of intervertebral disc herniation using hybrid classifier. Biomedical Signal Processing and Control 86, pages 105291.
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Hafiz Aamir Hafeez, Mohamed A. Elmagzoub, Nurul Azma Binti Abdullah, Mana Saleh Al Reshan, Ghulam Gilanie, Sultan Alyami, Mahmood Ul Hassan & Asadullah Shaikh. (2023) A CNN-Model to Classify Low-Grade and High-Grade Glioma From MRI Images. IEEE Access 11, pages 46283-46296.
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