Automated Recognition of Abnormalities in Gastrointestinal Endoscopic Images – Evaluation of an AI Tool for Identifying Polyps and Other Irregularities

Automated Recognition of Abnormalities in Gastrointestinal Endoscopic Images – Evaluation of an AI Tool for Identifying Polyps and Other Irregularities

This study investigates the application of artificial intelligence (AI) for the automatic detection of pathological abnormalities in gastrointestinal endoscopic images. Specifically, it evaluates the performance of an AI tool in identifying and classifying lesions such as polyps and other irregular...

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Bibliographic Details
Main Authors: Weronika Jarych, Elżbieta Tokarczyk, Patryk Iglewski, Daria Ziemińska, Karina Motolko, Rafał Burczyk, Konrad Duszyński, Michał Kociński, Jan Reinald Wendt
Format: Article
Language:English
Published: Nicolaus Copernicus University in Toruń 2025-05-01
Series:Quality in Sport
Subjects:
Artificial intelligence
endoscopy
gastrointestinal imaging
polyps detection
computer-aided detection
convolutional neural networks
Online Access:https://apcz.umk.pl/QS/article/view/60070
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https://apcz.umk.pl/QS/article/view/60070

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