A two-branch EfficientNet ensemble trained with LDAM-Focal loss reaches 85% accuracy over 16 fetal ultrasound classes, but the abstract overstates per-class results and the dataset is not public.
, author Coronado-Guti \'e rrez, D
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Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification
A two-branch EfficientNet ensemble trained with LDAM-Focal loss reaches 85% accuracy over 16 fetal ultrasound classes, but the abstract overstates per-class results and the dataset is not public.