Contrastive Clustering-Based Patient Normalization to Improve Automated In Vivo Oral Cancer Diagnosis from Multispectral Autofluorescence Lifetime Images.

MLA

Caughlin, Kayla, et al. “Contrastive Clustering-Based Patient Normalization to Improve Automated In Vivo Oral Cancer Diagnosis from Multispectral Autofluorescence Lifetime Images.” Cancers, vol. 16, no. 23, Dec. 2024, p. 4120. EBSCOhost, https://doi.org/10.3390/cancers16234120.

APA

Caughlin, K., Duran-Sierra, E., Cheng, S., Cuenca, R., Ahmed, B., Ji, J., Martinez, M., Al-Khalil, M., Al-Enazi, H., Jo, J. A., & Busso, C. (2024). Contrastive Clustering-Based Patient Normalization to Improve Automated In Vivo Oral Cancer Diagnosis from Multispectral Autofluorescence Lifetime Images. Cancers, 16(23), 4120. https://doi.org/10.3390/cancers16234120

Chicago

Caughlin, Kayla, Elvis Duran-Sierra, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Mathias Martinez, et al. 2024. “Contrastive Clustering-Based Patient Normalization to Improve Automated In Vivo Oral Cancer Diagnosis from Multispectral Autofluorescence Lifetime Images.” Cancers 16 (23): 4120. doi:10.3390/cancers16234120.