arXiv (OAI Expanded)
open access
StainBridge: Stain-Aware Pairwise Registration of Serial Renal Biopsy Whole-Slide Images Across Structural and Immunohistochemical Stains
Three-dimensional (3D) reconstruction of histopathology tissue requires accurate pairwise registration of serial whole-slide images (WSIs). Cross-stain benchmarks have advanced registration of differently stained histology, including structural-to-immunohistochemistry (IHC) pairs, but serial renal b
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
- Cross-Modal Contrastive Learning from Histopathology and CT for Automated Renal Cell Carcinoma Grading#1063131
- Artificial Intelligence-based Techniques to Characterize KIdney Microstructure on Histological ImagEs#836277
- Histopathological Analysis of Renal Biopsies With Dynamic Full-field Optical Coherence Tomography, a Comparison to Conventional Histopathological Findings for the Diagnosis of Either Acute Kidney Injury or Chronic Kidney Disease in Routine Practices (NEPHROCT)#887665
- Multiparametric MRI in Healthy Volunteers and CKD Patients#855993
- Deep visual multi-omics profiling links morphology and molecular programs in clear cell renal cell carcinoma.#785668
Record · ID 1123482
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