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Hybrid deep learning algorithm for brain tumour detection.

• Authors : Srivastava, Jyoti¹ (AUTHOR) ; Prakash, Jay¹ (AUTHOR); Srivastava, Ashish² (AUTHOR)

• Source: Imaging Science Journal. Sep2022, Vol. 70 Issue 6, p345-357. 13p.

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Analysis of Magnetic Resonance Imaging of Brain Tumour using Fuzzy Set Rules

• Authors : Manini singh; Vineeta Saxena Nigam

Subjects: brain lesions; fuzzy algorithm; image processing

• Source: Journal of Clinical and Diagnostic Research, Vol 15, Iss 12, Pp 06-10 (2021)

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Automated brain tumour segmentation techniques- A review.

• Authors : Angulakshmi, M.¹ ; Lakshmi Priya, G.G.¹

• Source: International Journal of Imaging Systems & Technology. Mar2017, Vol. 27 Issue 1, p66-77. 12p.

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Volumetric brain tumour detection from MRI using visual saliency.

• Authors : Mitra, Somosmita¹ ; Banerjee, Subhashis^2,3; Hayashi, Yoichi⁴

Subjects: *MAGNETIC resonance imaging of the brain; *VOLUMETRIC analysis; *IMAGE processing

• Source: PLoS ONE. 11/02/2017, Vol. 12 Issue 11, p1-14. 14p.

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Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI

• Authors : Soltaninejad, M; Yang, G; Lambrou, T

Subjects: Brain tumour segmentation; Extremely randomized trees; Feature selection

• Source: 203 ; 183

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ENHANCING BRAIN TUMOUR DIAGNOSIS WITH AI : A COMPARATIVE ANALYSIS OF RESNET AND YOLO ALGORITHM FOR TUMOUR CLASSIFICATION IN MRI SCANS

• Authors : Abdulrahman, Somaiya

Subjects: Artificial Intelligence (AI); Brain Tumor Diagnosis; MRI Image Analysis

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Deployment of a Mobile Application Using a Novel Deep Neural Network and Advanced Pre-Trained Models for the Identification of Brain Tumours.

• Authors : Glory Precious, J.¹ (AUTHOR) ; Angeline Kirubha, S. P.² (AUTHOR) ; Keren Evangeline, I.² (AUTHOR)

• Source: IETE Journal of Research. Oct2023, Vol. 69 Issue 10, p6902-6914. 13p.

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Volumetric brain tumour detection from MRI using visual saliency

• Authors : Subhashis Banerjee; Yoichi Hayashi; Somosmita Mitra

Subjects: Computer science; lcsh:Medicine; 02 engineering and technology

• Source: PLoS ONE, Vol 12, Iss 11, p e0187209 (2017)PLoS ONE

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Brain tumour segmentation from MRI image using genetic algorithm with fuzzy initialisation and seeded modified region growing (GFSMRG) method

• Authors : C. Chellamuthu; A.R. Kavitha

Subjects: Jaccard index; Segmentation-based object categorization; business.industry

• Source: The Imaging Science Journal. 64:285-297

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Analyzing the Performance of MRI-Based Brain Tumor Detection and Segmentation with Deep Convolution Neural Networks.

• Authors : Prabha, S. Santhana¹, ; Shanthi, D.²,

• Source: Turkish Online Journal of Qualitative Inquiry; 2021, Vol. 12 Issue 10, p582-589, 8p

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