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A computer program sorted brain scans into four groups

Original title: Brain Tumor Classification from MRI Using Colormap-Based Vision Transformers on the BRISC2025 Dataset.

How far along is this research?

This was done on cells in a lab, not in people. It is a very early step.

This was only a computer test on saved scan images, not in people.

The short version

Researchers tested a computer tool that reads brain MRI scans and sorts them.

What was studied. Researchers built a computer tool called ViT-Color. It adds color to gray MRI brain scans, then sorts each scan into one of four groups. The groups were glioma: A tumor that starts in the glial cells, the support cells of the brain and spinal cord. Gliomas are graded 1 to 4 by how fast they tend to grow. See the glossary, meningioma, pituitary tumor, and scans with no tumor.

What they found. The tool was tested on a set of scans it had never seen. It reached an accuracy of 98.63 and a recall of 98.81. Adding color to the scans worked better than plain gray scans on every measure.

What this means, and what it doesn't

What it could mean: Tools like this may one day help doctors read brain scans. This one is still a research tool. It does not change your care today.

What it doesn't mean: This is not a treatment, and it is not a cure. The tool was only run on saved scan pictures in a lab. No doctor used it with a real patient. It has not been tested in a clinic, and it is not approved for use.

Source: PubMed, August 28, 2026 · Read the original

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