• Addala Prem Kumar
• Gurram Vijaya Lakshmi
• Manepalli Venkata Manikanta
• Soma Renuka
• Danduboyina Gnani Vamsi Krishna

Brain tumors remain a leading cause of cancer-related mortality, primarily due to challenges in early detection and treatment. Unlike other cancers, they are difficult to diagnose in early stages, as symptoms are often vague and effective screening methods for identifying high-risk individuals are limited. This paper focuses on enhancing early brain tumor diagnosis through advanced techniques which provide detailed brain scans crucial for early detection. Earlier techniques like spatial-based imaging, Artificial Intelligence (AI) techniques were employed, but due to their limited accuracy and reliability, Machine Learning (ML) and Deep Learning (DL) methods have been emerged for better diagnosis. These advanced techniques automatically detect complex patterns in the imaging data, leading to improved diagnostic accuracy, particularly in assessing tumor size, location and malignancy. This review explores the recent advancements in different techniques applied to medical imaging, focusing on the key methodologies and their impact on improving clinical decision-making. It also discuss the challenges associated with implementing deep learning in healthcare, including the need for large annotated datasets, high computational costs, and the interpretability of model predictions. Through a comprehensive analysis of current research, this paper highlights how the different techniques helps in reshaping medical diagnostics and outlines future directions for integrating these technologies into clinical practice to enhance patient outcomes.

Brain Tumor; CT images; Convolutional Neural Network (CNN); Deep Learning; Diagnosis & Staging

"A Comprehensive Study on Brain Tumor Diagnosis and Staging Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.g512-g526, November-2024, Available :http://www.jetir.org/papers/JETIR2411650.pdf

"A Comprehensive Study on Brain Tumor Diagnosis and Staging Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppg512-g526, November-2024, Available at : http://www.jetir.org/papers/JETIR2411650.pdf