Most accurate multiclass brain segmentation model on Brainchop hits 0.9 Dice, now open for testing
PlisSergey · x · 2026-09-14
PlisSergey announced that the most accurate multiclass segmentation model on Brainchop is now available for testing on brainchop-test.
- Scores: 0.9 Dice on HCP and 0.86 across a wide selection of datasets.
- How to try it: pull a sample from OpenNeuro or drag-and-drop your own challenging sample — inference runs in the browser, no local compute needed.
- A ready-to-use browser-based segmentation tool and baseline for neuroimaging researchers.
More from Models
- Spectral theory lecture test: Claude Opus 5 beats ChatGPT Astra at math animations — PTenigma · 2026-09-14
- Claude Fable 5.1 cracks a 370-year-old cipher in 44 minutes, no human help — bcherny · 2026-09-14
- Next Token Podcast Ep.2: GPT-6 Astra, DeepSeek V4.1 Flash and iPhone Duo — op7418 · 2026-09-14
- Three weird image prompts — pelican on a bike, Wukong flying — to detect model dumbing — lxfater · 2026-09-14
- "Imagine paying $200 a month": user can't get one light-mode question through — Beeegbong · 2026-09-14
- Claude Computer Use is back, says developer who mourned its decline in favor of Claude Code — voooooogel · 2026-09-14