Deutsche Nationalbibliothek
metadata only
Multimodal PET-MR segmentation for glioblastoma: complementarity for treatment planning and recurrence definition
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
- Machine and deep learning based on magnetic resonance imaging to segment glioblastoma and predict the spread of recurrence: a multicenter retrospective protocol.#402599
- PET-Guided Resection in High-Grade Gliomas#850553
- Integrated multidisciplinary nursing with enhanced recovery protocols improves postoperative outcomes in glioma patients.#174785
- Protocol for developing a surgically operated model to mimic human glioblastoma resection and recurrence#370744
- Hierarchical Diagnosis for Adult Diffuse Glioma Based on Deep Learning#1125468
Record · ID 619754
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