Machine Learning and Radiomics Applications in Esophageal Cancers Using Non-Invasive Imaging Methods—A Critical Review of Literature

SIMPLE SUMMARY: Non-invasive imaging modalities are commonly used in clinical practice. Recently, the application of machine learning (ML) techniques has provided a new scope for more detailed imaging analysis in esophageal cancer (EC) patients. Our review aims to explore the recent advances and fut...

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Detalles Bibliográficos
Autores principales: Xie, Chen-Yi, Pang, Chun-Lap, Chan, Benjamin, Wong, Emily Yuen-Yuen, Dou, Qi, Vardhanabhuti, Varut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158761/
https://www.ncbi.nlm.nih.gov/pubmed/34069367
http://dx.doi.org/10.3390/cancers13102469

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158761/
https://www.ncbi.nlm.nih.gov/pubmed/34069367
http://dx.doi.org/10.3390/cancers13102469

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