Jiang, Z.; Gandomkar, Z.; Trieu, P.D.; Tavakoli Taba, S.; Barron, M.L.; Obeidy, P.; Lewis, S.J.
Evaluating Recalibrating AI Models for Breast Cancer Diagnosis in a New Context: Insights from Transfer Learning, Image Enhancement and High-Quality Training Data Integration. Cancers 2024, 16, 322.
https://doi.org/10.3390/cancers16020322
AMA Style
Jiang Z, Gandomkar Z, Trieu PD, Tavakoli Taba S, Barron ML, Obeidy P, Lewis SJ.
Evaluating Recalibrating AI Models for Breast Cancer Diagnosis in a New Context: Insights from Transfer Learning, Image Enhancement and High-Quality Training Data Integration. Cancers. 2024; 16(2):322.
https://doi.org/10.3390/cancers16020322
Chicago/Turabian Style
Jiang, Zhengqiang, Ziba Gandomkar, Phuong Dung (Yun) Trieu, Seyedamir Tavakoli Taba, Melissa L. Barron, Peyman Obeidy, and Sarah J. Lewis.
2024. "Evaluating Recalibrating AI Models for Breast Cancer Diagnosis in a New Context: Insights from Transfer Learning, Image Enhancement and High-Quality Training Data Integration" Cancers 16, no. 2: 322.
https://doi.org/10.3390/cancers16020322
APA Style
Jiang, Z., Gandomkar, Z., Trieu, P. D., Tavakoli Taba, S., Barron, M. L., Obeidy, P., & Lewis, S. J.
(2024). Evaluating Recalibrating AI Models for Breast Cancer Diagnosis in a New Context: Insights from Transfer Learning, Image Enhancement and High-Quality Training Data Integration. Cancers, 16(2), 322.
https://doi.org/10.3390/cancers16020322