Mammographically occult breast cancers detected with AI-based diagnosis supporting software: clinical and histopathologic characteristics

BACKGROUND: To demonstrate the value of an artificial intelligence (AI) software in the detection of mammographically occult breast cancers and to determine the clinicopathologic patterns of the cancers additionally detected using the AI software. METHODS: By retrospectively reviewing our institutio...

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Detalles Bibliográficos
Autores principales: Kim, Hee Jeong, Kim, Hak Hee, Kim, Ki Hwan, Choi, Woo Jung, Chae, Eun Young, Shin, Hee Jung, Cha, Joo Hee, Shim, Woo Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960489/
https://www.ncbi.nlm.nih.gov/pubmed/35347508
http://dx.doi.org/10.1186/s13244-022-01183-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960489/
https://www.ncbi.nlm.nih.gov/pubmed/35347508
http://dx.doi.org/10.1186/s13244-022-01183-x

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