Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach

Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach

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 of these algorithms depends on the quality of the ground-truth information, whic...

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Bibliographic Details
Main Authors: Andrés Larroza, Francisco Javier Pérez-Benito, Juan-Carlos Perez-Cortes, Marta Román, Marina Pollán, Beatriz Pérez-Gómez, Dolores Salas-Trejo, María Casals, Rafael Llobet
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Diagnostics
Subjects:
mammography
breast density segmentation
deep learning
noisy labels
Online Access:https://www.mdpi.com/2075-4418/12/8/1822

Internet

https://www.mdpi.com/2075-4418/12/8/1822

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