V3I2P47

Chronological Review of various Machine Learning Techniques and Convolutional Neural Network (CNN)-based deep learning models for Brain Tumor Detection

Sumedha Dasgupta^1*, Debadrita Mallick¹, Rajib Sekh²,  Priyanka Ghosh³,  Shruti Singh⁴

Abstract

This paper involves a chronological review of various Machine Learning Algorithms and Convolutional Neural Network (CNN)-based deep learning models to evaluate their effectiveness in brain tumor detection. The performance of these techniques is analyzed based on accuracy, reliability, and computational efficiency. This comparative study evaluates various research works based on performance metrics such as accuracy, precision, recall, F1-score, dataset size, and train–test ratio. The study provides a clear understanding of how deep learning models outperform traditional machine learning techniques and establishes CNN-based approaches as the most promising solution for brain tumor detection.

Keywords:

Brain tumor detection; Machine Learning Algorithms; Convolutional Neural Network (CNN)-based deep learning models;accuracy