NCBI PubMed Central
open access
Research on precise segmentation model of thyroid nodules based on deep learning.
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
- Knowledge-augmented deep multi-task learning for nodule segmentation and classification in thyroid ultrasound images#1028255
- Thyroid Nodule Segmentation in Ultrasound Images with Conformal Uncertainty Estimation#1297956
- Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images#625456
- Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images#623183
- Artificial intelligence in thyroid nodules and cancer: clinical validation and real-world performance.#662817
Record · ID 1267309
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