arXiv (All)
open access
A 2D autocorrelation-based frequency estimator reflecting spatial tissue distribution to improve Ultrasound H-scan tissue characterization
H-scan is a promising quantitative ultrasound technique that estimates the frequency content of backscattered signals and maps the estimated frequencies onto a red/blue color scale to reflect underlying tissue properties. Although it relies on matched filters tuned to different frequencies, the broa
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
- Abstracts from the 55th Annual Scientific Meeting of the British Medical Ultrasound Society, 10th - 12th December 2024, Coventry, United Kingdom.#421049
- Machine learning for fetal ultrasound image analysis using privileged information. (Machine learning pour l'analyse d'échographies fœtales avec l'utilisation d'information privilégiée).#489527
- Methods for the acquisition, learning-based segmentation, and quantitative analysis of ultrasound volumes#274399
- Current advancements and future directions in contrast-enhanced ultrasound (CEUS) in liver oncology: from quantification to theranostics.#438968
- Multifield spectral analysis of human respiratory sounds#957746
Record · ID 1105245
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