Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications

SIMPLE SUMMARY: With a five-year survival rate of only 3% for the majority of patients, pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel quantitative imaging methods that treat medical images as minable data instead of just pictures, have shown promise in ad...

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Detalles Bibliográficos
Autores principales: Preuss, Kiersten, Thach, Nate, Liang, Xiaoying, Baine, Michael, Chen, Justin, Zhang, Chi, Du, Huijing, Yu, Hongfeng, Lin, Chi, Hollingsworth, Michael A., Zheng, Dandan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997008/
https://www.ncbi.nlm.nih.gov/pubmed/35406426
http://dx.doi.org/10.3390/cancers14071654

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997008/
https://www.ncbi.nlm.nih.gov/pubmed/35406426
http://dx.doi.org/10.3390/cancers14071654

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