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

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

Abstract 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 ins...

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Bibliographic Details
Main Authors: Hee Jeong Kim, Hak Hee Kim, Ki Hwan Kim, Woo Jung Choi, Eun Young Chae, Hee Jung Shin, Joo Hee Cha, Woo Hyun Shim
Format: Article
Language:English
Published: SpringerOpen 2022-03-01
Series:Insights into Imaging
Subjects:
Artificial intelligence
Mammography
Breast neoplasms
Online Access:https://doi.org/10.1186/s13244-022-01183-x

Internet

https://doi.org/10.1186/s13244-022-01183-x

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