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Brain Tumor Classification Using Enhanced Statistical Texture Features

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Jinen Daghrir, Lotfi Tlig, Moez Bouchouicha, Noureddine Litaiem, Faten Zeglaoui & Mounir Sayadi. (2023) Texture Characterization Fuzzy Logic-Based Model for Melanoma Diagnosis. Cybernetics and Systems 0:0, pages 1-19.
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Tarun Kumar, Dilip Kumar & Gurmohan Singh. (2023) Brain Tumour Classification Using Quantum Support Vector Machine Learning Algorithm. IETE Journal of Research 0:0, pages 1-14.
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Syed Ali Nawaz, Dost Muhammad Khan & Salman Qadri. (2022) Brain Tumor Classification Based on Hybrid Optimized Multi-features Analysis Using Magnetic Resonance Imaging Dataset. Applied Artificial Intelligence 36:1.
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Articles from other publishers (4)

K. Rasool Reddy, Raj Kumar Batchu, Srinivasu Polinati & Durga Prasad Bavirisetti. (2023) Design of a medical decision-supporting system for the identification of brain tumors using entropy-based thresholding and non-local texture features. Frontiers in Human Neuroscience 17.
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Pallavi Asthana, Madasu Hanmandlu & Sharda Vashisth. (2021) Classification of brain tumor from magnetic resonance images using probabilistic features and possibilistic Hanman–Shannon transform classifier. International Journal of Imaging Systems and Technology 32:1, pages 280-294.
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Muhammad Bakhtiar Iman Awang & Shafaf Ibrahim. (2021) Comparative Analysis of Glioblastoma Brain Tumour Classification. Comparative Analysis of Glioblastoma Brain Tumour Classification.
Shihab Hamad Khaleefah, Salama A. Mostafa, Aida Mustapha, Rozanawati Daraman, Mohammad Faidzul Nasrudin & Shahrinaz Ismail. (2021) Exploring the Roles of Agents and Multi-Agent in Image Feature Extraction. Exploring the Roles of Agents and Multi-Agent in Image Feature Extraction.

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