A research on the improved rotational robustness for thoracic organ delineation by using joint learning of segmenting spatially‐correlated organs: A U‐net based comparison

PURPOSE: To study the improved rotational robustness by using joint learning of spatially‐correlated organ segmentation (SCOS) for thoracic organ delineation. The network structure is not our point. METHODS: The SCOS was implemented in a U‐net‐like model (abbr. SCOS‐net) and evaluated on unseen rota...

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Detalles Bibliográficos
Autores principales: Zhang, Jie, Yang, Yiwei, Fang, Min, Xu, Yujin, Ji, Yongling, Chen, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647980/
https://www.ncbi.nlm.nih.gov/pubmed/37469242
http://dx.doi.org/10.1002/acm2.14096

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647980/
https://www.ncbi.nlm.nih.gov/pubmed/37469242
http://dx.doi.org/10.1002/acm2.14096

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