Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks.

MLA

Chen, Shuo, et al. “Segmentation-Guided Domain Adaptation and Data Harmonization of Multi-Device Retinal Optical Coherence Tomography Using Cycle-Consistent Generative Adversarial Networks.” Computers in Biology and Medicine, vol. 159, June 2023, p. 106595. EBSCOhost, https://doi.org/10.1016/j.compbiomed.2023.106595.

APA

Chen, S., Ma, D., Lee, S., Yu, T. T. L., Xu, G., Lu, D., Popuri, K., Ju, M. J., Sarunic, M. V., & Beg, M. F. (2023). Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks. Computers in Biology and Medicine, 159, 106595. https://doi.org/10.1016/j.compbiomed.2023.106595

Chicago

Chen, Shuo, Da Ma, Sieun Lee, Timothy T L Yu, Gavin Xu, Donghuan Lu, Karteek Popuri, Myeong Jin Ju, Marinko V Sarunic, and Mirza Faisal Beg. 2023. “Segmentation-Guided Domain Adaptation and Data Harmonization of Multi-Device Retinal Optical Coherence Tomography Using Cycle-Consistent Generative Adversarial Networks.” Computers in Biology and Medicine 159 (June): 106595. doi:10.1016/j.compbiomed.2023.106595.