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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lo, Justin, Lim, Adam, Wagner, Matthias W., Ertl-Wagner, Birgit, Sussman, Dafna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
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

Internet

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

Ejemplares similares