masoudc commited on
Commit
c0cee50
Β·
verified Β·
1 Parent(s): 282fad0

Polish card copy

Browse files
Files changed (1) hide show
  1. README.md +9 -9
README.md CHANGED
@@ -13,18 +13,18 @@ short_description: Frozen V-JEPA-2 predicts cell-cycle state in microscopy
13
 
14
  # Temporal Cell State Prediction in Microscopy
15
 
16
- A frozen **V-JEPA-2 ViT-L** encoder + a small attentive-pool head predicts per-cell
17
- cell-cycle state (interphase / pre-mitosis / mitosis) directly from short single-cell
18
- clips β€” replacing the *classify* stage of the conventional segment β†’ track β†’ classify
19
- pipeline with a single clip β†’ state model.
20
 
21
- Pick a single-cell clip and the model classifies it into its cell-cycle state β€” shown
22
- as **predicted vs actual**. The selector tags each clip βœ… correct / ❌ misclassified so
23
  you can inspect both. Held-out test-set metrics (n=5,312) are in the collapsible panel.
24
 
25
  **Study finding:** in this small-data regime, **data scaling, not model scaling, is the
26
- binding constraint** β€” moving the baseline from a small to a larger labelled dataset lifts
27
- macro-F1 far more than an ~80Γ— larger encoder does.
28
 
29
  - Models: [`DnaRnaProteins/vjepa2-cell-cycle-vit-l`](https://huggingface.co/DnaRnaProteins/vjepa2-cell-cycle-vit-l), [`DnaRnaProteins/unet-bilstm-cell-cycle-baseline`](https://huggingface.co/DnaRnaProteins/unet-bilstm-cell-cycle-baseline)
30
- - Data: MICCAI Cell Tracking Challenge β€” Fluo-N2DL-HeLa. Labels derived from lineage trees (no manual annotation).
 
13
 
14
  # Temporal Cell State Prediction in Microscopy
15
 
16
+ A frozen **V-JEPA-2 ViT-L** encoder with a small attentive-pool head predicts per-cell
17
+ cell-cycle state (interphase, pre-mitosis, mitosis) directly from short single-cell
18
+ clips. It replaces the *classify* stage of the conventional segment, track, classify
19
+ pipeline with a single clip-to-state model.
20
 
21
+ Pick a single-cell clip and the model classifies it into its cell-cycle state, shown
22
+ as **predicted vs actual**. The selector tags each clip βœ… correct or ❌ misclassified so
23
  you can inspect both. Held-out test-set metrics (n=5,312) are in the collapsible panel.
24
 
25
  **Study finding:** in this small-data regime, **data scaling, not model scaling, is the
26
+ binding constraint.** Moving the baseline from a small to a larger labelled dataset lifts
27
+ macro-F1 far more than a roughly 80x larger encoder does.
28
 
29
  - Models: [`DnaRnaProteins/vjepa2-cell-cycle-vit-l`](https://huggingface.co/DnaRnaProteins/vjepa2-cell-cycle-vit-l), [`DnaRnaProteins/unet-bilstm-cell-cycle-baseline`](https://huggingface.co/DnaRnaProteins/unet-bilstm-cell-cycle-baseline)
30
+ - Data: MICCAI Cell Tracking Challenge, Fluo-N2DL-HeLa. Labels derived from lineage trees (no manual annotation).