OKAYAMA UNIVERSITY SCIENTIFIC ACHIEVEMENT REPOSITORY
metadata only
A rule-based calculation approach to derive bone-suppressed chest X-ray images using photon-counting techniques
Improving the visibility of lung nodules, which are often hidden by bone shadows and difficult to identify, remains a challenge in chest radiography. This study aims to develop an algorithm for generating novel bone-suppressed images using photon-counting techniques. The core idea of our algorithm i
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
- Cardiac Substructure Radiation Dose and Early Clinical Monitoring of Stage N2-3 Non-Small Cell Lung Cancer#806374
- Chest X-Ray or Chest CT Scan in Patients at High Risk of Developing Lung Cancer#1007652
- Zoledronic Acid and Positron Emission Tomography in Treating Patients With Advanced Non-Small Cell Lung Cancer#1137354
- Dynamic Magnetic Resonance Imaging (MRI) for Lung Tumor Motion and Lung Function (GCC 0943)#878758
- GRIPNet: Gaussian Radial Intensity Prior Guided Architecture for Pulmonary Nodule Detection in CT#998849
Record · ID 1121110
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