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iSight-cell
zhihuanglab/iSight-cell
iSight-cell is a machine learning model from zhihuanglab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
The cell-level model of iSight. Every cell in an IHC image is segmented, iSight-target selects the cells of interest for the tissue, and iSight-cell scores each selected cell for staining intensity (negative / weak /…
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At a glance
- License
- other
- Model type
- isight-cell
- Access
- Public
- Created
- Sep 12, 2026
- Updated
- Sep 19, 2026
- SHA
- 4651120b
Model card
From the Hugging Face model README
iSight-cell: cell-level assessment of immunohistochemistry staining
The cell-level model of iSight. Every cell in an IHC image is segmented, iSight-target selects the cells of interest for the tissue, and iSight-cell scores each selected cell for staining intensity (negative / weak / moderate / strong) and subcellular location (none / nuclear / cytoplasmic-membranous / both). Image-level results are built up from the cells, giving a cell count, a spatial map and a measured stained fraction.
iSight-cell requires zhihuanglab/iSight-target.
Model
UNI2-h backbone (ViT-g/14), fully fine-tuned, with two classification heads. Input is a 64×64 RGB crop centred on the cell, resized to 224 and ImageNet-normalised.
Files
config.json model configuration (fetch this with the checkpoint)
checkpoints/iSight-cell.pt weights (model state dict only)
from huggingface_hub import hf_hub_download
cfg = hf_hub_download("zhihuanglab/iSight-cell", "config.json")
ckpt = hf_hub_download("zhihuanglab/iSight-cell", "checkpoints/iSight-cell.pt")
Links
- Code: github.com/zhihuanglab/iSight (
isight_cell/) - Image-level model: zhihuanglab/iSight-slide
- Training dataset: nirschl-lab/hpa10m
License
PENN Academic Software License Agreement: non-commercial research use only.
Contact
Zhi Huang — [email protected]
- Type
- isight-cell
- License
- other
- Created
- Sep 12, 2026
- Updated
- Sep 19, 2026