Shafiee, S.; Jagtap, J.; Zayats, M.; Epperlein, J.; Banerjee, A.; Geurts, A.; Flister, M.; Zhuk, S.; Joshi, A.
Dynamic NIR Fluorescence Imaging and Machine Learning Framework for Stratifying High vs. Low Notch-Dll4 Expressing Host Microenvironment in Triple-Negative Breast Cancer. Cancers 2023, 15, 1460.
https://doi.org/10.3390/cancers15051460
AMA Style
Shafiee S, Jagtap J, Zayats M, Epperlein J, Banerjee A, Geurts A, Flister M, Zhuk S, Joshi A.
Dynamic NIR Fluorescence Imaging and Machine Learning Framework for Stratifying High vs. Low Notch-Dll4 Expressing Host Microenvironment in Triple-Negative Breast Cancer. Cancers. 2023; 15(5):1460.
https://doi.org/10.3390/cancers15051460
Chicago/Turabian Style
Shafiee, Shayan, Jaidip Jagtap, Mykhaylo Zayats, Jonathan Epperlein, Anjishnu Banerjee, Aron Geurts, Michael Flister, Sergiy Zhuk, and Amit Joshi.
2023. "Dynamic NIR Fluorescence Imaging and Machine Learning Framework for Stratifying High vs. Low Notch-Dll4 Expressing Host Microenvironment in Triple-Negative Breast Cancer" Cancers 15, no. 5: 1460.
https://doi.org/10.3390/cancers15051460
APA Style
Shafiee, S., Jagtap, J., Zayats, M., Epperlein, J., Banerjee, A., Geurts, A., Flister, M., Zhuk, S., & Joshi, A.
(2023). Dynamic NIR Fluorescence Imaging and Machine Learning Framework for Stratifying High vs. Low Notch-Dll4 Expressing Host Microenvironment in Triple-Negative Breast Cancer. Cancers, 15(5), 1460.
https://doi.org/10.3390/cancers15051460