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

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 reading sma...

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Detalles Bibliográficos
Autores principales: Yokote, Akihito, Umeno, Junji, Kawasaki, Keisuke, Fujioka, Shin, Fuyuno, Yuta, Matsuno, Yuichi, Yoshida, Yuichiro, Imazu, Noriyuki, Miyazono, Satoshi, Moriyama, Tomohiko, Kitazono, Takanari, Torisu, Takehiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288072/
https://www.ncbi.nlm.nih.gov/pubmed/37359150
http://dx.doi.org/10.1002/deo2.258

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288072/
https://www.ncbi.nlm.nih.gov/pubmed/37359150
http://dx.doi.org/10.1002/deo2.258

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