Automatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements

In this study, we developed an automated workflow using a deep learning model (DL) to measure the lateral ventricle linearly in fetal brain MRI, which are subsequently classified into normal or ventriculomegaly, defined as a diameter wider than 10 mm at the level of the thalamus and choroid plexus....

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Detalles Bibliográficos
Autores principales: Vahedifard, Farzan, Ai, H. Asher, Supanich, Mark P., Marathu, Kranthi K., Liu, Xuchu, Kocak, Mehmet, Ansari, Shehbaz M., Akyuz, Melih, Adepoju, Jubril O., Adler, Seth, Byrd, Sharon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378043/
https://www.ncbi.nlm.nih.gov/pubmed/37510099
http://dx.doi.org/10.3390/diagnostics13142355

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378043/
https://www.ncbi.nlm.nih.gov/pubmed/37510099
http://dx.doi.org/10.3390/diagnostics13142355

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