KatherLab/STAMP
Solid Tumor Associative Modeling in Pathology
This project helps clinical researchers and machine learning engineers analyze large collections of whole-slide histopathology images to discover potential image-based biomarkers. You input digitized tissue slides (gigapixel histopathology images) and patient-level clinical data, and it outputs predictions for patient outcomes (like survival or disease activity scores) along with explainable heatmaps showing important image regions. It's designed for pathologists, oncologists, and data scientists working on computational pathology projects.
115 stars.
Use this if you need an efficient, reproducible workflow to find image-based biomarkers in solid tumor pathology without requiring detailed pixel-level annotations.
Not ideal if your primary goal is pixel-level image segmentation or if you don't work with whole-slide histopathology images.
Stars
115
Forks
48
Language
Python
License
MIT
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mcp/KatherLab/STAMP"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related servers
JamesANZ/medical-mcp
An MCP server that provides comprehensive medical information by querying multiple authoritative...
cyanheads/clinicaltrialsgov-mcp-server
MCP server for the ClinicalTrials.gov v2 API. Allow LLMs to search trials, retrieve study...
wso2/fhir-mcp-server
FHIR MCP Server – helping you expose any FHIR Server or API as a MCP Server.
erikhoward/azure-fhir-mcp-server
Azure AHDS FHIR MCP Server
the-momentum/apple-health-mcp-server
MCP server for querying Apple Health data with natural language using DuckDB under the hood.