Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence

HIGHLIGHTS

  • who: Joshua Ogony from the Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, San Pablo Rd, Jacksonville, FL, USA have published the article: Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence, in the Journal: (JOURNAL)
  • what: The authors propose that assessment of TDLUs in the postpartum period may have value in risk estimation but characteristics of these tissues in relation to epidemiological factors are incompletely described. Relationships were suggestively modified by several other factors including demographic and reproductive characteristics ethanol consumption and breast‑ feeding duration. † and Contributed . . .

     

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