Feasibility of Continual Deep Learning-Based Segmentation for Personalized Adaptive Radiation Therapy in Head and Neck Area

SIMPLE SUMMARY: We analyzed the contouring data of 23 organs-at-risk from 100 patients with head and neck cancer who underwent definitive radiation therapy (RT). Deep learning-based segmentation (DLS) with continual training was compared to DLS with conventional training and deformable image registr...

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Detalles Bibliográficos
Autores principales: Kim, Nalee, Chun, Jaehee, Chang, Jee Suk, Lee, Chang Geol, Keum, Ki Chang, Kim, Jin Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915955/
https://www.ncbi.nlm.nih.gov/pubmed/33572310
http://dx.doi.org/10.3390/cancers13040702

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915955/
https://www.ncbi.nlm.nih.gov/pubmed/33572310
http://dx.doi.org/10.3390/cancers13040702

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