publications

2022

1. 

   Machine learning principles applied to CT radiomics to predict mucinous pancreatic cysts

   Adam M. Awe, Michael M. Vanden Heuvel, Tianyuan Yuan, and 7 more authors

   Abdominal Radiology, Jan 2022

   Abs DOI Bib PDF

   Current diagnostic and treatment modalities for pancreatic cysts (PCs) are invasive and are associated with patient morbidity. The purpose of this study is to develop and evaluate machine learning algorithms to delineate mucinous from non-mucinous PCs using non-invasive CT-based radiomics.

   @article{Awe2022,
     author = {Awe, Adam M. and Vanden Heuvel, Michael M. and Yuan, Tianyuan and Rendell, Victoria R. and Shen, Mingren and Kampani, Agrima and Liang, Shanchao and Morgan, Dane D. and Winslow, Emily R. and Lubner, Meghan G.},
     title = {Machine learning principles applied to CT radiomics to predict mucinous pancreatic cysts},
     journal = {Abdominal Radiology},
     year = {2022},
     month = jan,
     day = {01},
     volume = {47},
     number = {1},
     pages = {221-231},
     issn = {2366-0058},
     doi = {10.1007/s00261-021-03289-0},
     url = {https://doi.org/10.1007/s00261-021-03289-0},
   }