Analyze pathology slides with machine learning
pathmlskillsetup L3★27,559
K-Dense-AI/scientific-agent-skills ↗What it does
Load, preprocess, and analyze whole-slide pathology images
Best for
Computational pathology workflows requiring multiplexed imaging analysis or nucleus segmentation
Inputs
- · WSI files (SVS, NDPI, SCN, ZVI, DICOM)
- · metadata
Outputs
- · processed tiles
- · segmentation masks
- · spatial graphs
- · model predictions
Requires
- · pathml
- · PyTorch
- · openslide
Preconditions
WSI file format supported; GPU optional
Failure modes
Unsupported slide format; out-of-memory on large slides; stain variation causing segmentation drift
Trust signals
- · 6+ reference doc sections
- · HoVer-Net and HACTNet models cited
- · CODEX/Vectra integration tested