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Fetal Organ Anomaly Classification Network for Identifying Organ Anomalies in Fetal MRI
Rapid development in Magnetic Resonance Imaging (MRI) has played a key role in prenatal diagnosis over the last few years. Deep learning (DL) architectures can facilitate the process of anomaly detection and affected-organ classification, making diagnosis more accurate and observer-independent. We p...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972161/ https://www.ncbi.nlm.nih.gov/pubmed/35372832 http://dx.doi.org/10.3389/frai.2022.832485 |