Sentence examples for breast patterns from inspiring English sources
Selection of relevant and appropriate features to characterize breast patterns is of paramount importance in breast tissue representation and classification in machine learning paradigm.
Although geographic variances for the curve-billed can make discerning breast patterns difficult, the curve-billed has a tendency to display larger and rounder spots overall on its breast, in contrast to the Bendires' smaller, more pronounced markings shaped like arrowheads.
In the first, premenopausal Japanese women had a significantly lower proportion of dense breast patterns and a higher proportion of lucent breast patterns than did British women.
This was most marked in the dense breast patterns, as shown in previous publications.
In conclusion, there are interesting interactions and possible interactions of dense breast patterns with other breast cancer risk factors.
We therefore propose to investigate interactions between dense breast patterns and other risk factors within the Singapore case control study.
The numbers of subjects classified by the triple crosstabulation of breast pattern, risk factor and case control status is given in the appendix.
Dense mammographic breast pattern, for which a high relative risk of 6 has been reported, is a likely candidate for being treated as a confounding factor [ 13].
We also found that adjustment for traditional risk factors such as parity and age at first birth made little difference to the estimated effect of breast pattern (and conversely adjusting for breast pattern made little difference to the effects of other risk factors).
The breast pattern of those undetected Mx lesions was: fatty breast in 3 (1.8%) cases, fatty breast with scattered density in 40 (24.3%) cases, heterogeneous dense breast in 91 (55.1%) cases, and dense breast in 31 (18.8%) cases (Table 3).
The expected values of the ORs in order of decreasing magnitude are displayed on the Y-axis in each figure: after adjustment for dense breast pattern RRc = 6; late age at menopause RRc = 4; nulliparity RRc = 2; and serious overweight RRc = 1.5.
