Comparative Performance of Artificial Intelligence Optical Diagnosis Systems for Leaving in Situ Colorectal Polyps
If you need an accessible version of this item, please email your request to digschol@iu.edu so that they may create one and provide it to you.
Date
2023-03
Language
English
Embargo Lift Date
Department
Committee Members
Degree
Degree Year
Department
Grantor
Journal Title
Journal ISSN
Volume Title
Found At
Elsevier
Abstract
Description
item.page.description.tableofcontents
item.page.relation.haspart
Cite As
Hassan, C., Sharma, P., Mori, Y., Bretthauer, M., Rex, D. K., Repici, A., Spadaccini, M., Selvaggio, C., Antonelli, G., Khalaf, K., Rizkala, T., Ferrara, E., Savevski, V., Maselli, R., Fugazza, A., Capogreco, A., Poletti, V., Ferretti, S., Alkandari, A., & Correale, L. (2022). Comparative Performance of Artificial Intelligence Optical Diagnosis Systems for Leaving-In-Situ Colorectal Polyps. Gastroenterology, 164(3), P467-469.E4. https://doi.org/10.1053/j.gastro.2022.10.021
ISSN
Publisher
Series/Report
Sponsorship
Major
Extent
Identifier
Relation
Journal
Gastroenterology
Source
Author
Alternative Title
Type
Article
Number
Volume
Conference Dates
Conference Host
Conference Location
Conference Name
Conference Panel
Conference Secretariat Location
Permanent Link
Version
Author's manuscript