A 4-million-parameter EfficientNetB0 pipeline with YOLOv10-based augmentation and curriculum learning reaches 89.19% macro F1 on internal thyroid FNAB tests but only 0.68 macro F1 on external validation.
Elliott Range, David Dov, Shahar Z
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ThyroidEffi 1.0: A Cost-Effective System for High-Performance Multi-Class Thyroid Carcinoma Classification
A 4-million-parameter EfficientNetB0 pipeline with YOLOv10-based augmentation and curriculum learning reaches 89.19% macro F1 on internal thyroid FNAB tests but only 0.68 macro F1 on external validation.