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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577694/
https://www.ncbi.nlm.nih.gov/pubmed/28854966
http://dx.doi.org/10.1186/s40001-017-0270-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577694/
https://www.ncbi.nlm.nih.gov/pubmed/28854966
http://dx.doi.org/10.1186/s40001-017-0270-0

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