Small bowel capsule endoscopy examination and open access database with artificial intelligence: The SEE‐artificial intelligence project

Small bowel capsule endoscopy examination and open access database with artificial intelligence: The SEE‐artificial intelligence project

Abstract Objectives Artificial intelligence (AI) may be practical for image classification of small bowel capsule endoscopy (CE). However, creating a functional AI model is challenging. We attempted to create a dataset and an object detection CE AI model to explore modeling problems to assist in rea...

Full description

Saved in:
Bibliographic Details
Main Authors: Akihito Yokote, Junji Umeno, Keisuke Kawasaki, Shin Fujioka, Yuta Fuyuno, Yuichi Matsuno, Yuichiro Yoshida, Noriyuki Imazu, Satoshi Miyazono, Tomohiko Moriyama, Takanari Kitazono, Takehiro Torisu
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:DEN Open
Subjects:
artificial intelligence
capsule endoscopy
diagnostic imaging
gastrointestinal tract
intestine small
Online Access:https://doi.org/10.1002/deo2.258
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items