SlideGraph+ — graph-based deep learning framework for whole slide image (WSI) analysis in computational digital pathology. Builds spatial and hierarchical graphs from WSI patch features, then trains g
Use with AI
Install the MCP server or CLI to instantly fetch SlideGraph+ documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/slidegraph
scispaCy is a Python package for biomedical and scientific text processing built on spaCy. Provides pretrained NLP models for biomedical NER (disease, chemical, gene, mutation entities), entity linkin
1 shared topic • 2 shared operations
Use when working with Borzoi — a sequence-to-function DNA foundation model — for predicting genome-wide regulatory activity from DNA sequences. Borzoi predicts RNA-seq, ATAC-seq, ChIP-seq, and histone
1 shared topic • 1 shared operation
Cellpose — generalist deep learning algorithm for cellular and nuclear segmentation in microscopy images. Provides GPU-accelerated 2D and 3D instance segmentation using gradient flow representations,
1 shared topic • 1 shared operation
QuPath — open-source platform for whole slide image analysis and digital pathology. Provides interactive tools for tissue detection via thresholding, cell detection and positive cell classification (H
1 shared topic • 1 shared operation
ZeroCostDL4Mic is a Google Colab-based platform providing zero-cost deep learning for fluorescence microscopy image analysis. Supports segmentation (U-Net, StarDist, Cellpose), denoising (Noise2Void,
1 shared topic • 1 shared operation