Abstract: Multimodal fusion is an effective solution for holistic brain tumor diagnosis; however, it faces challenges under missing modalities. Traditional multi-encoder architectures can easily ...

ROCHESTER, Minn. — One of the most detailed maps to date of meningioma, the most common brain tumor in adults, reveals how the tumor’s surrounding environment helps drive disease behavior and patient ...

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 ...

TAMPA — Dr. Brian Collins was completing his medical residency at Georgetown University in the early 2000s when the institution invested in a new and groundbreaking technology that would shape the ...

Experts in Heidelberg, Germany, have developed an AI system that can classify brain tumors with unprecedented accuracy using standard microscopic tissue sections. Using digitized standard stains, the ...

Summary: Researchers introduced a deep-learning artificial intelligence capable of predicting the molecular classification of brain and spinal cord tumors in minutes using standard, universally ...