Deep lessons learned: Radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer diagnosis

E. M. Weisberg, L. C. Chu, S. Park, A. L. Yuille, K. W. Kinzler, B. Vogelstein, E. K. Fishman

Research output: Contribution to journalArticle

Original languageEnglish (US)
JournalDiagnostic and Interventional Imaging
DOIs
StateAccepted/In press - Jan 1 2019

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Artificial Intelligence
Pancreatic Neoplasms
Early Detection of Cancer
Radiology
Pathology

Keywords

  • Artificial intelligence (AI)
  • Deep learning
  • Pancreatic ductal adenocarcinoma (PDA)
  • Pancreatic neuroendocrine tumor
  • Radiomics

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

Cite this

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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.}",
year = "2019",
month = "1",
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doi = "10.1016/j.diii.2019.09.002",
language = "English (US)",
journal = "Diagnostic and interventional imaging",
issn = "2211-5684",
publisher = "Elsevier Masson",

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AU - Yuille, A. L.

AU - Kinzler, K. W.

AU - Vogelstein, B.

AU - Fishman, E. K.

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