Review and Evaluation of existing deep learning methods for Brain Tumor Detection

Authors

  • Prem Nath , Dr. Naresh Kumar Trivedi Author

DOI:

https://doi.org/10.48047/emha1n28

Keywords:

Transformers, Medical Image Analysis, Deep Learning, Brain Tumor, Magnetic Resonance Imaging, BraTS, Machine Learning

Abstract

When it comes to medical image processing, segmenting brain tumors is an essential task. Patients' chances of survival are increased and treatment options are improved when brain tumors are detected early. It requires a great deal of time and work to manually separate brain tumors from the many MRI pictures obtained during clinical routines in order to diagnose malignancy. Automatic brain tumor segmentation of images is required. 

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References

Christ, J. et al. (2014) “Segmentation of brain tumors using meta heuristic algorithms,” Open journal of communications and software, 2014(1), pp. 1–10. doi:10.15764/cs.2014.01001.

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Published

2025-02-20

Issue

Vol. 54 No. 4 (2025): Year 2025, Volume 54, Issue 4

Section

Articles

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How to Cite

Review and Evaluation of existing deep learning methods for Brain Tumor Detection (Prem Nath , Dr. Naresh Kumar Trivedi , Trans.). (2025). Cuestiones De Fisioterapia, 54(4), 622-630. https://doi.org/10.48047/emha1n28