Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer

OBJECTIVES: To investigate the feasibility and efficacy of a deep-learning (DL)-based three-dimensional (3D) super-resolution (SR) MRI radiomics model for preoperative T-staging prediction in rectal cancer (RC). METHODS: Seven hundred six eligible RC patients (T1/2 = 287, T3/4 = 419) were retrospect...

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Detalles Bibliográficos
Autores principales: Hou, Min, Zhou, Long, Sun, Jihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755091/
https://www.ncbi.nlm.nih.gov/pubmed/35726100
http://dx.doi.org/10.1007/s00330-022-08952-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755091/
https://www.ncbi.nlm.nih.gov/pubmed/35726100
http://dx.doi.org/10.1007/s00330-022-08952-8

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