Brain Tumor Detection

Brain Tumor Detection

Prof.A.A. Nikose1 , Sowrabh N. Bendke2, Jyoti Tileshwar2, Prerna Sahu2, Sejal Patil2

1Computer Science and Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India

2Computer Science and Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India

Abstract: Brain tumors represent a significant clinical challenge due to their complex nature and varied presentations. Accurate and timely detection is crucial for effective treatment and improved patient outcomes. This paper reviews current diagnostic methods, including imaging techniques such as MRI, CT, and PET scans, alongside traditional biopsy procedures. Additionally, we explore emerging technologies such as artificial intelligence and machine learning, which show promise in enhancing diagnostic accuracy and reducing the incidence of false positives and negatives. Despite advancements, challenges remain, particularly concerning the tumor's location and the differentiation between tumor types. Future research directions are identified, emphasizing the need for innovative approaches that integrate advanced imaging and computational methods. Ultimately, this paper aims to underscore the importance of early detection and the ongoing evolution of strategies in brain tumor diagnostics.

Keyword: Brain Tumor, Imaging Techniques, Diagnostic Accuracy, Early Detection, Biopsy.