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Automatic Classification of Nodules from 2D Ultrasound Images Using Deep Learning Networks
1
Zitationen
10
Autoren
2024
Jahr
Abstract
We propose a deep learning architecture that effectively classifies thyroid nodules as requiring FNA or not from ultrasound images. Despite challenges related to image variability, class imbalance, and interpretability, our method demonstrated a high classification accuracy with minimal false negatives, showing its potential to reduce unnecessary FNAs in clinical settings.
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