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Browsing by Author "Casals, María"

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A Deep Learning Framework to classify Breast Density with Noisy Labels Regularization

López-Almazán, Héctor; Perez-Benito, Francisco Javier; Larroza, Andrés; Perez-Cortes, Juan-Carlos; Pollán, Marina; Perez-Gomez, Beatriz; Salas-Trejo, Dolores; Casals, María; Llobet Azpitarte, Rafael (Elsevier, 2022-06-01)

[EN] Background and Objective: Breast density assessed from digital mammograms is a biomarker for higher risk of developing breast cancer. Experienced radiologists assess breast density using the Breast Image and Data ...
Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach

Larroza, Andrés; Pérez-Benito, Francisco Javier; Perez-Cortes, Juan-Carlos; Román, Marta; Pollán, Marina; Pérez-Gómez, Beatriz; Salas-Trejo, Dolores; Casals, María; Llobet Azpitarte, Rafael (MDPI AG, 2022-08)

[EN] Breast density assessed from digital mammograms is a known biomarker related to a higher risk of developing breast cancer. Supervised learning algorithms have been implemented to determine this. However, the performance ...
Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts

Pérez-Benito, Francisco Javier; Signol, François; Perez-Cortes, Juan-Carlos; Pollán, Marina; Perez-Gómez, Beatriz; Salas-Trejo, Dolores; Casals, María; Martinez, Inmaculada; Llobet Azpitarte, Rafael (Elsevier, 2019-08)

[EN] Background The breast dense tissue percentage on digital mammograms is one of the most commonly used markers for breast cancer risk estimation. Geometric features of dense tissue over the breast and the presence of ...

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Browsing by Author "Casals, María"

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Browsing by Author "Casals, María"