This is an application of the Vision Transformer for brain tumor detection through the use of hyperspectral images with a limited number of bands (i.e. using the SLIM Brain Database). 💡 An ...

Glioblastoma is the most aggressive form of brain cancer, and sadly, most patients survive only one or two years after diagnosis. These tumors grow quickly, invade surrounding brain tissue, and often ...

Savannah Guthrie spoke with Jones on 'Today' about her grief after announcing that Ojeh had died at age 45 on May 23 Julia Moore is a TV writer-reporter at PEOPLE. A graduate of Northwestern ...

The Today show co-host returned to the NBC morning show and gave an emotional first interview on Friday, Sept. 5 Speaking with co-host Savannah Guthrie, Jones got emotional, saying, "The life that ...

New research has uncovered how cerebrospinal fluid dynamics in the brain play an important role in driving the spread of medulloblastoma, the most common malignant brain tumor in children. Building on ...

Sports broadcaster Erin Andrews, a cervical cancer survivor, is joining a national movement to promote early cancer screening, a cause that hits close to home. Andrews, a member of the FOX NFL ...

Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of patients with locally advanced disease; however, nearly 30% still ...

This project implements advanced machine learning approaches for brain tumor classification using MRI images from the PMRAM Bangladeshi Brain Cancer MRI Dataset. The project includes two comprehensive ...

Abstract: Brain tumors are life-threatening, and early detection is crucial for improving patient outcomes. This research compares three advanced deep learning models—MobileNet, ResNet50V2, and ...

Abstract: Early and accurate detection of brain tumors is essential for guiding effective treatment, and MRI imaging has become a crucial tool due to its detailed and high-resolution visuals. However, ...

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...

Brain tumors pose a critical threat to human health, and early detection is essential for improving patient outcomes. This study presents two key enhancements to the YOLOv11 architecture aimed at ...