A new computer program tries to tell brain tumor types apart from scans
Original title: A Hybrid Perception Network for Accurate and Interpretable Brain Tumor Classification Using Multi-Modal Imaging.
How far along is this research?
- Lab cells
- Animals
- Review
- Tested in people
This was done on cells in a lab, not in people. It is a very early step.
This was only tested on a stored set of scan images, not with patients.
The short version
Researchers built a computer tool that reads brain scans and sorts tumors by type, and it was right most of the time in a test.
What was studied. Researchers built a computer program called HyPerNet. It learns from three kinds of scans: MRI, CT, and PET. They tested it on a set of 8,256 scan images.
What they found. In that test, the program sorted the tumors correctly 97.14% of the time. The researchers say it did better than other computer programs they compared it to. It also runs on small devices like phones, and it can highlight the part of the scan it based its answer on.
What this means, and what it doesn't
What it could mean: Tools like this may one day help doctors read brain scans faster and with more confidence. It could act as a second set of eyes. Right now it is a research tool, not something in your clinic.
What it doesn't mean: This is not a treatment, and it is not a cure. It was only tested on a stored set of scan images, not on patients in a hospital. It has not been tested in real care, and it is not approved for doctors to use. Doing well on a test set does not mean it will work the same way on your scan.
Source: PubMed, July 26, 2026 · Read the original
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