Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapy

PURPOSE: Studies based on machine learning-based quantitative imaging techniques have gained much interest in cancer research. The aim of this review is to critically appraise the existing machine learning-based quantitative imaging analysis studies predicting outcomes of esophageal cancer after con...

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Detalles Bibliográficos
Autores principales: Shi, Zhenwei, Zhang, Zhen, Liu, Zaiyi, Zhao, Lujun, Ye, Zhaoxiang, Dekker, Andre, Wee, Leonard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206619/
https://www.ncbi.nlm.nih.gov/pubmed/34939174
http://dx.doi.org/10.1007/s00259-021-05658-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206619/
https://www.ncbi.nlm.nih.gov/pubmed/34939174
http://dx.doi.org/10.1007/s00259-021-05658-9

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