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zhihuanglab/iSight-target
iSight-target 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.
Given all segmented cells of an IHC image and the image's tissue × cell-type class, iSight-target decides which cells are the cells of interest (tumour cells in a carcinoma, hepatocytes in liver, and so on). It has on…
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From the Hugging Face model README
Given all segmented cells of an IHC image and the image's tissue × cell-type class, iSight-target
decides which cells are the cells of interest (tumour cells in a carcinoma, hepatocytes in liver,
and so on). It has one binary head per class in meta/classes_43.csv — 43 classes — on a
UNI2-h backbone. iSight-cell scores the
cells this model selects.
config.json model configuration (fetch this with the checkpoint)
checkpoints/iSight-target.pt weights (model state dict only)
meta/classes_43.csv the 43 classes: cls43, head_idx, tissue, cell_type
from huggingface_hub import hf_hub_download
cfg = hf_hub_download("zhihuanglab/iSight-target", "config.json")
ckpt = hf_hub_download("zhihuanglab/iSight-target", "checkpoints/iSight-target.pt")
isight_cell/target_cell/, isight_cell/code/pipeline/select_target_v2.py)PENN Academic Software License Agreement: non-commercial research use only.
Zhi Huang — [email protected]