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Articles

Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

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By Huang SH, Liu FF, Rey- McIntyre K, Aerts HJWL
| ncbi.nlm.nih.gov
Save citation to file Format: Add to My Bibliography Your saved search Name of saved search: Search terms: Frequency: Which day? Which day? Report format: Send at most: Send even when there aren't any new results Optional text in email: Create a file for external citation management software
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Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning

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By Tjong MC, Liu KX, Haas-Kogan D, Aerts HJWL
| ncbi.nlm.nih.gov
This is a preprint. It has not yet been peer reviewed by a journal. The National Library of Medicine is running a pilot to include preprints that result from research funded by NIH in PMC and PubMed. Display options Abstract Purpose: Artificial intelligence (AI)-automated tumor delineation for pediatric gliomas would enable real-time volumetric evaluation to support diagnosis, treatment response assessment, and clinical decision-making.
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