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A deep learning system to obtain the optimal parameters for a threshold-based breast and dense tissue segmentation

Perez-Benito, Francisco Javier; Signol, François; Perez-Cortes, Juan-Carlos; Fuster Bagetto, Alejandro; Pollan, Marina; Pérez-Gómez, Beatriz; Salas-Trejo, Dolores; Casals, Maria; Martínez, Inmaculada; Llobet Azpitarte, Rafael (Elsevier, 2020-10)

[EN] Background and Objective: Breast cancer is the most frequent cancer in women. The Spanish healthcare network established population-based screening programs in all Autonomous Communities, where mammograms of asymptomatic ...
Wonen's features and inter/intra rater agreement on mammographic density assesment in full-field digital mammograms

Perez-Gomez, Beatriz; Ruiz, Franciso; Martinez, Inmaculada; Casals, Maria; Miranda, Josefa; Sanchez-Contador, Carmen; Vidal, Carmen; Llobet Azpitarte, Rafael; Pollan, Marina; Salas, Dolores (Springer Verlag (Germany), 2012)

Measurement of mammographic density (MD), one of the leading risk factors for breast cancer, still relies on subjective assessment. However, the consistency of MD measurement in full-digital mammograms has yet to ...

Mostrando ítems 1-2 de 2