Yao Li1, Sarah C Van Alsten2, Dong Neuck Lee3

  • 1Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

Cancers
|July 13, 2024
PubMed
概括

使用人工智能识别的乳腺瘤的组织学异质性提供了预后见解. 低视觉异质性,特别是在基底类和ER阴性亚型中,与较高的瘤复发风险有关.