Li, Y.-H.; Cheng, Y.-C.; Chang, C.-Y.; Lee, I.-T.
Optimizing a Multimodal Large Language Model for Ultrasound-Based Thyroid Nodule Malignancy Classification: A Comparative Study of Few-Shot Learning, Prompt Engineering, and Fine-Tuning. Diagnostics 2026, 16, 1931.
https://doi.org/10.3390/diagnostics16121931
AMA Style
Li Y-H, Cheng Y-C, Chang C-Y, Lee I-T.
Optimizing a Multimodal Large Language Model for Ultrasound-Based Thyroid Nodule Malignancy Classification: A Comparative Study of Few-Shot Learning, Prompt Engineering, and Fine-Tuning. Diagnostics. 2026; 16(12):1931.
https://doi.org/10.3390/diagnostics16121931
Chicago/Turabian Style
Li, Yu-Hsuan, Yu-Cheng Cheng, Chih-Yun Chang, and I-Te Lee.
2026. "Optimizing a Multimodal Large Language Model for Ultrasound-Based Thyroid Nodule Malignancy Classification: A Comparative Study of Few-Shot Learning, Prompt Engineering, and Fine-Tuning" Diagnostics 16, no. 12: 1931.
https://doi.org/10.3390/diagnostics16121931
APA Style
Li, Y.-H., Cheng, Y.-C., Chang, C.-Y., & Lee, I.-T.
(2026). Optimizing a Multimodal Large Language Model for Ultrasound-Based Thyroid Nodule Malignancy Classification: A Comparative Study of Few-Shot Learning, Prompt Engineering, and Fine-Tuning. Diagnostics, 16(12), 1931.
https://doi.org/10.3390/diagnostics16121931