Temporal Machine Learning Analysis of Prior Mammograms for Breast Cancer Risk Prediction

Temporal Machine Learning Analysis of Prior Mammograms for Breast Cancer Risk Prediction

The identification of women at risk for sporadic breast cancer remains a clinical challenge. We hypothesize that the temporal analysis of annual screening mammograms, using a long short-term memory (LSTM) network, could accurately identify women at risk of future breast cancer. Women with an imaging...

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Bibliographic Details
Main Authors: Hui Li, Kayla Robinson, Li Lan, Natalie Baughan, Chun-Wai Chan, Matthew Embury, Gary J. Whitman, Randa El-Zein, Isabelle Bedrosian, Maryellen L. Giger
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Cancers
Subjects:
breast cancer risk
radiomics
long short-term memory networks
artificial intelligence
field effect
Online Access:https://www.mdpi.com/2072-6694/15/7/2141

Internet

https://www.mdpi.com/2072-6694/15/7/2141

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