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

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