Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach
- DOI
- 10.3390/diagnostics12081822
- Published
- 2022-07-28
- Container
- Diagnostics
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics12081822,
title = {Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach},
author = {Andrés Larroza and Francisco Javier Pérez-Benito and Juan-Carlos Perez-Cortes and Marta Román and Marina Pollán and Beatriz Pérez-Gómez and Dolores Salas-Trejo and María Casals and Rafael Llobet},
year = {2022},
journal = {Diagnostics},
doi = {10.3390/diagnostics12081822},
url = {https://doi.org/10.3390/diagnostics12081822}
}RIS
TY - JOUR TI - Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach AU - Andrés Larroza AU - Francisco Javier Pérez-Benito AU - Juan-Carlos Perez-Cortes AU - Marta Román AU - Marina Pollán AU - Beatriz Pérez-Gómez AU - Dolores Salas-Trejo AU - María Casals AU - Rafael Llobet PY - 2022 JO - Diagnostics DO - 10.3390/diagnostics12081822 UR - https://doi.org/10.3390/diagnostics12081822 ER -
APA
Larroza, A., Pérez-Benito, F. J., Perez-Cortes, J., Román, M., Pollán, M., Pérez-Gómez, B., Salas-Trejo, D., Casals, M., & Llobet, R. (2022). Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach. Diagnostics. https://doi.org/10.3390/diagnostics12081822
Source records
- crossref · retrieved 2026-09-26T21:40:29.878Z