AI brain scan model identifies stroke, brain tumors and aneurysms

A new AI model could help radiologists identify brain abnormalities in MRI scans for all conditions including stroke, ...
IEEE

Hybrid CNN-Based Transfer Learning Enhances Brain Tumor Classification on MRI Images

Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...

Fullerenes could improve MRI clarity by enabling more efficient dynamic nuclear polarization

Magnetic resonance imaging (MRI) is invaluable in the medical world. But despite all the good it does, there is room for improvement. One way to enhance the sensitivity of MRI is dynamic nuclear ...
E!

Celebrity Medium Tyler Henry Undergoes Surgery for Brain Tumor for 2nd Time in 6 Months

The celebrity medium’s husband Clint Godwin shared that Tyler recently underwent a third brain operation—his second in six months—to address a cyst that had been growing and releasing fluid in his ...
STAT

Why might a 79-year-old man need an MRI of his brain?

In October, President Trump revealed that he recently underwent an MRI and said that the results were “perfect.” He was not specific about what type of MRI he received, though later in the ...
IEEE

3D-SCUMamba: An Abdominal Tumor Segmentation Model

Abstract: Identification and segmentation of tumors from CT scans are essential for early detection and effective treatment but they remain challenging due to imaging artifacts and significant ...
SciELO

Optimized Brain Tumor Segmentation Using Chimp Optimization Algorithm and Type-2 Intuitionistic Fuzzy C-Means Clustering

Medical image segmentation plays a vital role in diagnostic imaging, particularly for measuring brain tumor morphology in MRI scans, which directly influences treatment planning, prognosis, and ...