Emerging Technologies for Real‐Time Intraoperative Margin Assessment in Future Breast‐Conserving Surgery

Emerging Technologies for Real‐Time Intraoperative Margin Assessment in Future Breast‐Conserving Surgery

Abstract Clean surgical margins in breast‐conserving surgery (BCS) are essential for preventing recurrence. Intraoperative pathologic diagnostic methods, such as frozen section analysis and imprint cytology, have been recognized as crucial tools in BCS. However, the complexity and time‐consuming nat...

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Bibliographic Details
Main Authors: Ambara R. Pradipta, Tomonori Tanei, Koji Morimoto, Kenzo Shimazu, Shinzaburo Noguchi, Katsunori Tanaka
Format: Article
Language:English
Published: Wiley 2020-05-01
Series:Advanced Science
Subjects:
artificial intelligence algorithms
breast cancer
breast‐conserving surgery
deep learning
imaging
intraoperative diagnosis
Online Access:https://doi.org/10.1002/advs.201901519

Internet

https://doi.org/10.1002/advs.201901519

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