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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....
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |
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