@article{a5f359dc9be94be9a74320c0876290c2,
title = "Deep lessons learned: Radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer diagnosis",
keywords = "Artificial intelligence (AI), Deep learning, Pancreatic ductal adenocarcinoma (PDA), Pancreatic neuroendocrine tumor, Radiomics",
author = "Weisberg, {E. M.} and Chu, {L. C.} and S. Park and Yuille, {A. L.} and Kinzler, {K. W.} and B. Vogelstein and Fishman, {E. K.}",
note = "Funding Information: The Felix Project is funded in part by a grant from The Lustgarten Foundation. ",
year = "2020",
month = feb,
doi = "10.1016/j.diii.2019.09.002",
language = "English (US)",
volume = "101",
pages = "111--115",
journal = "Diagnostic and Interventional Imaging",
issn = "2211-5684",
publisher = "Elsevier Masson s.r.l.",
number = "2",
}