← anamaya.fyi On-device
TCGA lower-grade glioma · U-Net · ONNX Runtime Web

Draw the tumour

A slice from a patient the model never trained on, outlined — with the radiologist's own outline to check it against.

Not a medical device. This is a demonstration of a segmentation architecture on a public research dataset. It has never been clinically validated and must not inform anybody's care.
01

The slice

Loading the model…

02

Slices from held-out patients

Half of these contain a tumour and half do not. The empty ones are the interesting test — a segmenter that hallucinates a tumour in a healthy slice is worse than useless.

03

How it was measured

The split is by patient, not by slice. Consecutive slices of one brain are near-duplicates, so splitting randomly by slice puts near-copies of the test set into training and buys several points of Dice that do not exist. Both numbers are published: Dice across every test slice, and Dice restricted to the slices that actually contain tumour.