Establishment of a deep‐learning system to diagnose BI‐RADS4a or higher using breast ultrasound for clinical application

Although the categorization of ultrasound using the Breast Imaging Reporting and Data System (BI‐RADS) has become widespread worldwide, the problem of inter‐observer variability remains. To maintain uniformity in diagnostic accuracy, we have developed a system in which artificial intelligence (AI) c...

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Detalles Bibliográficos
Autores principales: Hayashida, Tetsu, Odani, Erina, Kikuchi, Masayuki, Nagayama, Aiko, Seki, Tomoko, Takahashi, Maiko, Futatsugi, Noriyuki, Matsumoto, Akiko, Murata, Takeshi, Watanuki, Rurina, Yokoe, Takamichi, Nakashoji, Ayako, Maeda, Hinako, Onishi, Tatsuya, Asaga, Sota, Hojo, Takashi, Jinno, Hiromitsu, Sotome, Keiichi, Matsui, Akira, Suto, Akihiko, Imoto, Shigeru, Kitagawa, Yuko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530860/
https://www.ncbi.nlm.nih.gov/pubmed/35880248
http://dx.doi.org/10.1111/cas.15511

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530860/
https://www.ncbi.nlm.nih.gov/pubmed/35880248
http://dx.doi.org/10.1111/cas.15511

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