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Using automated texture features to determine the probability for masking of a tumor on mammography, but not ultrasound

BACKGROUND: Tumors in radiologically dense breast were overlooked on mammograms more often than tumors in low-density breasts. A fast reproducible and automated method of assessing percentage mammographic density (PMD) would be desirable to support decisions whether ultrasonography should be provide...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:	Eur J Med Res
Κύριοι συγγραφείς:	Häberle, Lothar, Hack, Carolin C., Heusinger, Katharina, Wagner, Florian, Jud, Sebastian M., Uder, Michael, Beckmann, Matthias W., Schulz-Wendtland, Rüdiger, Wittenberg, Thomas, Fasching, Peter A.
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	BioMed Central 2017
Θέματα:	Research
Διαθέσιμο Online:	https://ncbi.nlm.nih.gov/pmc/articles/PMC5577694/ https://ncbi.nlm.nih.gov/pubmed/28854966 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40001-017-0270-0
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Using automated texture features to determine the probability for masking of a tumor on mammography, but not ultrasound

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