Advanced Deep Learning Architectures for Tumor Segmentation in MRI and CT Scans

Authors

  • Ankita,Dr. Nidhi Mishra

Abstract

In recent years, deep learning has transformed the field of medical imaging by enablingunprecedented levels of accuracy and efficiency in tasks such as classification, detection, andsegmentation. One of the most crucial applications is tumor segmentation in Magnetic ResonanceImaging (MRI) and Computed Tomography

References

Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., ... & Menze, B. H. (2018). Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. arXiv preprint arXiv:1811.02629.

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Published

2024-07-15

How to Cite

Ankita,Dr. Nidhi Mishra. (2024). Advanced Deep Learning Architectures for Tumor Segmentation in MRI and CT Scans . Journal of Computational Analysis and Applications (JoCAAA), 33(07), 2128–2134. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2868

Issue

Vol. 33 No. 07 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.