IEEE

Enhancing Brain Tumor Detection with CNN and Random Forest: A Balanced Approach to Accuracy and Interpretability

Abstract: Brain tumor classification is an important step in diagnosis and treatment and therefore correct and interpretable results are all important. In this research, a dual-architecture approach ...
IEEE

A Lightweight Hybrid Deep Learning Approach for Multi-Class Brain Tumor Classification

Abstract: Brain tumors are a significant health concern, requiring timely and accurate diagnosis to improve treatment outcomes. Magnetic Resonance Imaging (MRI) is a widely used technique for brain ...
IEEE

Optimized Machine Learning Algorithms for Multiclass Brain Tumor Classification using MRI

Abstract: Brain tumor classification is a very important part of medical diagnosis that affects how patients are treated and their health outcomes. This study introduces an improved deep learning ...