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Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves "Resect and Discard" Thresholds.
Zachariah, Robin; Samarasena, Jason; Luba, Daniel; Duh, Erica; Dao, Tyler; Requa, James; Ninh, Andrew; Karnes, William.
Affiliation
  • Zachariah R; Department of Gastroenterology and Department of Internal Medicine, University of California Irvine Medical Center, Orange, California, USA.
  • Samarasena J; Department of Gastroenterology and Department of Internal Medicine, University of California Irvine Medical Center, Orange, California, USA.
  • Luba D; Docbot, Irvine, California, USA.
  • Duh E; Monterey Bay GI Consultants Medical Group, Monterey, California, USA.
  • Dao T; Department of Gastroenterology and Department of Internal Medicine, University of California Irvine Medical Center, Orange, California, USA.
  • Requa J; Docbot, Irvine, California, USA.
  • Ninh A; Docbot, Irvine, California, USA.
  • Karnes W; Monterey Bay GI Consultants Medical Group, Monterey, California, USA.
Am J Gastroenterol ; 115(1): 138-144, 2020 01.
Article in En | MEDLINE | ID: mdl-31651444
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colorectal Neoplasms / Adenoma / Colonic Polyps / Population Surveillance / Deep Learning Type of study: Guideline / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: Am J Gastroenterol Year: 2020 Type: Article Affiliation country: United States
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colorectal Neoplasms / Adenoma / Colonic Polyps / Population Surveillance / Deep Learning Type of study: Guideline / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: Am J Gastroenterol Year: 2020 Type: Article Affiliation country: United States