arXiv (OAI)
open access
A novel attention mechanism for noise-adaptive and robust segmentation of microtubules in microscopy images
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
- Quantitative Morphological Signatures Define Local Signaling Networks Regulating Cell Morphology#643568
- A Multi-Annotator Study of Segmentation Noise and Uncertainty in Turbid Underwater Images#615333
- A Multi-Annotator Study of Segmentation Noise and Uncertainty in Turbid Underwater Images#614366
- Translational AI in whole-slide image cancer histopathology: state of the art and regulatory-approved solutions.#399713
- Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data.#345235
Record · ID 158749
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