A computer tool that finds brain tumors on MRI scans
Original title: Enhanced MRI brain tumor segmentation with DNet and hybrid dice-weighted cross-entropy loss.
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 stored scan images by computer, not with patients in a clinic.
The short version
Researchers built software that can outline brain tumors on MRI pictures on its own.
What was studied. Researchers made a computer program called DNet. They tested it on 1664 MRI pictures that showed three kinds of tumors: glioma: A tumor that starts in the glial cells. Those are the support cells of the brain and spinal cord. Gliomas are given a grade from 1 to 4. The grade says how the tumor is expected to act. See the glossary, meningioma, and pituitary tumors.
What they found. The program found and outlined tumors in the pictures. It reached 99.6% accuracy on the set of pictures with three tumor types. It did better than the older program it was based on. It also worked about the same on a separate set of pictures.
What this means, and what it doesn't
What it could mean: Tools like this may one day help doctors spot and measure a tumor on a scan faster. It could support the doctor reading your MRI. It would not replace them.
What it doesn't mean: This is not a treatment. It is not a cure and it does not tell you anything about how a person will do. The work was done on stored MRI pictures, not with patients in a clinic. The researchers say it still needs testing on many more scans from many different hospitals before it could be used in real care.
Source: PubMed, July 13, 2026 · Read the original
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