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 ...
IEEE

Revolutionizing Brain Tumor Classification with Fusion-Driven Deep Learning Models

Abstract: The identification of brain tumors presents a significant medical challenge, as timely and precise diagnosis greatly influences patient survival rates. Brain tumors, caused by abnormal cell ...
IEEE

Performance Enhancement of CNN and LSTM Models for Brain Tumor Detection with GA and PSO Optimization

Abstract: A Brain Tumor is a growth of mass abnormal cells in the brain which affects the human organs and sometime leads to death. MRI plays a vital role in the ...
IEEE

Brain Tumor Classification Using Modified ResNet50

Abstract: Brain tumors pose serious healthcare difficulties due to their varied biological activities and effects on patient outcomes. For treatment planning to be successful, accurate diagnosis and ...
IEEE

Brain Tumor Detection Using YOLOv11 on Edge Computing for Decision Support

Abstract: Early diagnosis of brain tumors is essential for timely treatment and improved patient outcomes. With the evolution of deep learning, object detection models have emerged as valuable tools ...
IEEE

Improved CNN and YOLOv8 Based Deep Learning Model for Brain Tumor Classification

In recent years, brain tumors have become a major problem for human health and the number of people dying from them is increasing day by day. Brain cancer continues to be one of the deadliest diseases ...
People

NBA Veteran and First Openly Gay Athlete Jason Collins Reveals He Has 'Very Aggressive' Stage 4 Brain Cancer

Collins penned an emotional essay revealing his prognosis and the reaction of his family and friends Walter McBride/WireImage Former NBA player Jason Collins penned an emotional essay for ESPN about ...
AOL

Jason Collins reveals Stage 4 brain cancer diagnosis, says tumor cannot be removed via surgery

Former NBA player Jason Collins has Stage 4 glioblastoma. Collins — who in 2013 became the first openly gay active player in a men's North American sports league — revealed his diagnosis to ESPN's ...
IEEE

Comparative Analysis of YOLO and CNN Architectures for Wildfire Prediction

Wildfires are emerging as a skyrocketing worldwide issue, resulting in catastrophic environmental, economic, and social losses. Precise and effective prediction of wildfires is crucial to reduce their ...
Medical Xpress

Recent trial reveals promising therapy for aggressive brain cancer

Huntsman Cancer Institute at the University of Utah (the U) participated in a clinical trial that found that a new combination treatment plan helped people with recurring grade 3 astrocytoma, an ...