NCBI PubMed Central
open access
Quality assurance for deep learning-based proton therapy planning in routine clinical use for oropharyngeal cancer.
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
- Changes to Function and Quality of Life and Patient Experience for Patients Undergoing Treatments for Recurrent Oropharyngeal Cancer#390916
- Tumor Mutational Burden, Liquid Biopsy, Angiogenic Factors and DCE-MRI Perfusion in HPV-Negative Oropharyngeal Cancer#1032272
- Prognostic Value of TIL in Nasopharyngeal Carcinoma#1044258
- Deep Learning Can Predict the Overall Survival of Cervical Cancer Based on Histopathological Image, Gene Mutation and Clinical Information.#156940
- An Uncertainty-Guided Digital Twin Framework for Online Adaptive Proton Therapy in Head and Neck Cancer: A Feasibility Study#1143977
Record · ID 823502
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