Auto-segmentation of head and neck tumors in positron emission tomography images using non-local means and morphological frameworks

PURPOSE: Accurately segmenting head and neck cancer (HNC) tumors in medical images is crucial for effective treatment planning. However, current methods for HNC segmentation are limited in their accuracy and efficiency. The present study aimed to design a model for segmenting HNC tumors in three-dim...

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Detalles Bibliográficos
Autores principales: Heydarheydari, Sahel, Birgani, Mohammad Javad Tahmasebi, Rezaeijo, Seyed Masoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493858/
https://www.ncbi.nlm.nih.gov/pubmed/37701174
http://dx.doi.org/10.5114/pjr.2023.130815

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493858/
https://www.ncbi.nlm.nih.gov/pubmed/37701174
http://dx.doi.org/10.5114/pjr.2023.130815

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