An Overlooked Opportunity To Bend The Curve On Cancer Care

AI has the potential to help bring predictability to complicated workflows by standardizing the path from simulation to ...
IEEE

SU-FTD2: Transformer-Driven Brain Tumor Imaging Framework using Explainable AI for Consumer Applications

Abstract: In the clinic, brain tumor detection and semantic segmentation are critical tasks in medical image analysis, particularly in magnetic resonance imaging (MRI), which assists clinicians in ...
Rutland Herald

Novocure Announces Topline Data from the Phase 3 TRIDENT Trial Evaluating Earlier Use of Tumor Treating Fields Therapy in Newly Diagnosed Glioblastoma

Novocure (NASDAQ: NVCR) announced topline results today from its Phase 3 TRIDENT trial, which evaluated the initiation of Tumor Treating Fields (TTFields) therapy for newly diagnosed glioblastoma (GBM ...
IEEE

Brain Tumor Segmentation using 3D Swin UNETR

Abstract: The application of a vision transformer (ViT) to medical image analysis has been promising recently, particularly in brain tumor segmentation from MRI images. Following this achievement, we ...
STAT

Nonprofit buys experimental cancer drug to maintain patient access

Lauren writes about healthcare AI data interoperability, the science behind public health recommendations, and pharmaceutical advances in the rare disease space. In a rare move, nonprofit organization ...
GitHub

iodriller/SegCraft-Semantic-Segmentation

For NVIDIA GPUs, install the CUDA-enabled PyTorch wheel that matches your system from the PyTorch install page, then run: segcraft validate segcraft predict --preset cityscapes_video --local ...