Development of a Deep-Learning Algorithm for Small Bowel-Lesion Detection and a Study of the Improvement in the False-Positive Rate

Deep learning has recently been gaining attention as a promising technology to improve the identification of lesions, and deep-learning algorithms for lesion detection have been actively developed in small-bowel capsule endoscopy (SBCE). We developed a detection algorithm for abnormal findings by de...

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Detalles Bibliográficos
Autores principales: Hosoe, Naoki, Horie, Tomofumi, Tojo, Anna, Sakurai, Hinako, Hayashi, Yukie, Limpias Kamiya, Kenji Jose-Luis, Sujino, Tomohisa, Takabayashi, Kaoru, Ogata, Haruhiko, Kanai, Takanori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9267395/
https://www.ncbi.nlm.nih.gov/pubmed/35806969
http://dx.doi.org/10.3390/jcm11133682

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9267395/
https://www.ncbi.nlm.nih.gov/pubmed/35806969
http://dx.doi.org/10.3390/jcm11133682

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