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Machine learning models based on magnetic resonance imaging for predicting Lymphovascular Invasion in Invasive Breast Cancer.

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Title: Machine learning models based on magnetic resonance imaging for predicting Lymphovascular Invasion in Invasive Breast Cancer.
Authors: Li, Hong1 (AUTHOR), Huang, Jieling2 (AUTHOR), Hou, Jianning3 (AUTHOR), Chen, Xinxin4 (AUTHOR), Zhi, Cheng5 (AUTHOR), Li, Zhiming1 (AUTHOR) zm088055@163.com
Source: PLoS ONE. 5/29/2026, Vol. 21 Issue 5, p1-15. 15p.
Database: Academic Search Ultimate
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  Data: Machine learning models based on magnetic resonance imaging for predicting Lymphovascular Invasion in Invasive Breast Cancer.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 5/29/2026, Vol. 21 Issue 5, p1-15. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194187287
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        Value: 10.1371/journal.pone.0350085
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      – TitleFull: Machine learning models based on magnetic resonance imaging for predicting Lymphovascular Invasion in Invasive Breast Cancer.
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              Text: 5/29/2026
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