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Review of brain tumor detection from MRI images with hybrid approaches

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Abstract

One of the most common approaches in medical research is to detect a brain tumor and its growth from an MRI of the brain. Therefore, the process of scanning brain images from the internal structure of the human brain provides information about the growth of brain tumors. The manual detection of brain tumor from the MRI is a challenging task in the medical research field because the tumor also causes high changes in internal and external structure of the brain. For that purpose, it is proposed to review the detection of brain tumor from MRI images by using hybrid computerized approaches. Therefore, brain tumor growth performance and analysis are described to generalize symptoms and guide diagnosis towards a treatment plan. Several approaches for the segmentation process of MRI are discussed from existing papers, the detection of brain tumors can be concluded.

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  1. Shri Jagdish Prasad Jhabarmal Tibrewala University, Churela, Rajasthan, India

    Nandini Vaibhav Dhole

  2. RMD Sinhgad School of Engineering, Warje, Pune, India

    Vaibhav V. Dixit

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Dhole, N.V., Dixit, V.V. Review of brain tumor detection from MRI images with hybrid approaches. Multimed Tools Appl 81, 10189–10220 (2022). https://doi.org/10.1007/s11042-022-12162-1

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