bioRxiv / medRxiv
open access
CC BY-NC 4.0
StainX: GPU-accelerated batch stain normalization for computational pathology at scale
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- UNICORN: a deep learning model for integrating multi-stain data in histopathology.#308819
- COOT-CNN: joint architecture and training-strategy optimization for binary colorectal histology patch classification.#437228
- Grading breast cancer tissues using molecular portraits.#452338
- STRUCTURED REPRESENTATION LEARNING FOR MOLECULAR AND WHOLE-SLIDE ANALYSIS IN COMPUTATIONAL PATHOLOGY#371232
- Stain consistency learning: handling stain variation for automatic digital pathology segmentation#186560
Record · ID 657271
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive