Deep Learning Techniques in Brain Cancer Detection
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Computer Science | United Arab Emirates | Volume 12 Issue 11, November 2023 | Popularity: 6.3 / 10


     

Deep Learning Techniques in Brain Cancer Detection

Madhav Agrawal, Arham Jain


Abstract: Brain cancer, a formidable adversary in the realm of oncology, has necessitated the development of innovative detection and diagnostic techniques. This paper presents a groundbreaking collaborative effort with Dr. Vikas Kumar from Aster Hospital, where we introduce a novel computational approach to identify early-stage brain cancer. Utilizing advanced machine learning algorithms and rich datasets, our method demonstrates a significant increase in detection accuracy and reduced false positives compared to traditional methods. Preliminary results, implications for clinical practice, and future research directions are discussed.


Keywords: Brain cancer, detection, diagnostic techniques, computational approach, machine learning algorithm


Edition: Volume 12 Issue 11, November 2023


Pages: 41 - 49


DOI: https://www.doi.org/10.21275/SR231029151256



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Madhav Agrawal, Arham Jain, "Deep Learning Techniques in Brain Cancer Detection", International Journal of Science and Research (IJSR), Volume 12 Issue 11, November 2023, pp. 41-49, https://www.ijsr.net/getabstract.php?paperid=SR231029151256, DOI: https://www.doi.org/10.21275/SR231029151256

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