IEEE

Brain Tumor Detection Using U-Net: A Deep Learning Approach

Abstract: Brain tumors are among the most dangerous and potentially fatal medical disor- ders. They can be benign or malignant. Patient care and treatment planning depend on a timely and precise ...
UVA Today

UVA researchers identify promising new target for deadliest brain cancer

A potential breakthrough in the fight against glioblastoma, the deadliest form of brain cancer, is emerging from UVA Cancer Center. University of Virginia scientists, with support from the National ...
Frontiers

A scalable and reliable deep learning framework for enhanced brain tumor detection and diagnosis using AI-based medical imaging

XunS ZhangY DuanS ChenH WangM ChenJ et al. RGA-Unet: an improved U-net segmentation model based on residual grouped convolution and convolutional block attention module for brain tumor MRI image ...
IEEE

Advanced MRI-Based Brain Tumor Detection Using Hybrid Machine Learning Approaches

Abstract: Classifying and detecting brain tumors in medical imaging remains a major hurdle in the field of medical diagnostics. This Paper aims to present a hybrid machine learning approach ...