Deep Learning and Registration-Based Mapping for Analyzing the Distribution of Nodal Metastases in Head and Neck Cancer Cohorts: Informing Optimal Radiotherapy Target Volume Design

SIMPLE SUMMARY: This study presents two novel methods for automatically analyzing the distribution of nodal metastases in head and neck (H/N) cancer cohorts. The proposed deep learning method uses lymph node level autosegmentation to automatically assign lymph node metastases to 20 H/N nodal levels....

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Detalles Bibliográficos
Autores principales: Weissmann, Thomas, Mansoorian, Sina, May, Matthias Stefan, Lettmaier, Sebastian, Höfler, Daniel, Deloch, Lisa, Speer, Stefan, Balk, Matthias, Frey, Benjamin, Gaipl, Udo S., Bert, Christoph, Distel, Luitpold Valentin, Walter, Franziska, Belka, Claus, Semrau, Sabine, Iro, Heinrich, Fietkau, Rainer, Huang, Yixing, Putz, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526893/
https://www.ncbi.nlm.nih.gov/pubmed/37760588
http://dx.doi.org/10.3390/cancers15184620

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526893/
https://www.ncbi.nlm.nih.gov/pubmed/37760588
http://dx.doi.org/10.3390/cancers15184620

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