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AAWS-Net: Anatomy-aware weakly-supervised learning network for breast mass segmentation
Accurate segmentation of breast masses is an essential step in computer aided diagnosis of breast cancer. The scarcity of annotated training data greatly hinders the model’s generalization ability, especially for the deep learning based methods. However, high-quality image-level annotations are time...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405027/ https://www.ncbi.nlm.nih.gov/pubmed/34460852 http://dx.doi.org/10.1371/journal.pone.0256830 |