EVALUATION OF A REAL-TIME ARTIFICIAL INTELLIGENCE SYSTEM USING A DEEP NEURAL NETWORK FOR POLYP DETECTION AND LOCALIZATION IN THE LOWER GASTROINTESTINAL TRACT

Seibt H, Beyer A, Hafner M, Eggert C, Huber H, Rath T (2020)

Publication Type: Conference contribution

Publication year: 2020

Journal

Gastrointestinal Endoscopy Elsevier

Publisher: MOSBY-ELSEVIER

City/Town: NEW YORK

Pages Range: AB249-AB249

Conference Proceedings Title: GASTROINTESTINAL ENDOSCOPY

Event location: Chicago, IL US

DOI: 10.1055/s-0040-1704078

Authors with CRIS profile

Timo Rath Juniorprofessur für Molekulare Endoskopie

Involved external institutions

Hoya Corporation JP Japan (JP)

How to cite

APA:

Seibt, H., Beyer, A., Hafner, M., Eggert, C., Huber, H., & Rath, T. (2020). EVALUATION OF A REAL-TIME ARTIFICIAL INTELLIGENCE SYSTEM USING A DEEP NEURAL NETWORK FOR POLYP DETECTION AND LOCALIZATION IN THE LOWER GASTROINTESTINAL TRACT. In GASTROINTESTINAL ENDOSCOPY (pp. AB249-AB249). Chicago, IL, US: NEW YORK: MOSBY-ELSEVIER.

MLA:

Seibt, Hannes, et al. "EVALUATION OF A REAL-TIME ARTIFICIAL INTELLIGENCE SYSTEM USING A DEEP NEURAL NETWORK FOR POLYP DETECTION AND LOCALIZATION IN THE LOWER GASTROINTESTINAL TRACT." Proceedings of the GI Fellows Sessions at Digestive Disease Week / 61st Annual Meeting of the Society-for-Surgery-of-the-Alimentary-Tract, Chicago, IL NEW YORK: MOSBY-ELSEVIER, 2020. AB249-AB249.

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