Knowledge-augmented deep multi-task learning for nodule segmentation and classification in thyroid ultrasound images

Improving the accuracy of thyroid nodule diagnosis is important to avoid unnecessary treatment while still detecting cancer early. Although ultrasound is commonly used as an imaging modality, deep learning models often perform poorly when applied to images from different devices due to domain differ