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An Enhanced Hybrid Framework Utilizing Energy Shape Prior for MRI-Based Brain Tumor Detection

  • By

  • Ashit Kumar Dutta

  • Yaseen Bokhari

  • Zaffar Ahmed Shaikh

  • Amr Yousef

  • Shtwai Alsubai

  • Mohammed Gh. Alzahrani

  • Mohd Anjum

  • Sana Shahab

  • April 23, 2026

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  • 1

    Brain tumors arise from uncontrolled cell growth and can be classified as malignant or benign, affecting brain function and overall health.

  • 2

    Early and accurate diagnosis of brain tumors significantly impacts treatment outcomes, with gliomas being particularly lethal.

  • 3

    MRI is a crucial tool for brain tumor detection, providing detailed information about tumor characteristics through various sequences.

  • 4

    Automated machine learning techniques enhance the accuracy of brain tumor classification compared to traditional manual methods.

  • 5

    Accurate segmentation of tumor regions in MRI images is essential for effective diagnosis and remains a challenge in medical image processing.

Original Source(s)

A hybrid optimized framework with energy shape prior segmentation for brain tumor detection in MRI images

  • by Ashit Kumar Dutta, Yaseen Bokhari, Zaffar Ahmed Shaikh, Amr Yousef, Shtwai Alsubai, Mohammed Gh. Alzahrani, Mohd Anjum, Sana Shahab

  • April 23, 2026

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