Liu, Dongnan, Zhang, Donghao, Song, Yang, Zhang, Fan, O'Donnell, Lauren, Huang, Heng, Chen, Mei, and Cai, Weidong. PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images. Retrieved from https://par.nsf.gov/biblio/10316294. IEEE Transactions on Medical Imaging 40.1 Web. doi:10.1109/TMI.2020.3023466.

Liu, Dongnan, Zhang, Donghao, Song, Yang, Zhang, Fan, O'Donnell, Lauren, Huang, Heng, Chen, Mei, & Cai, Weidong. PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images. IEEE Transactions on Medical Imaging, 40 (1). Retrieved from https://par.nsf.gov/biblio/10316294. https://doi.org/10.1109/TMI.2020.3023466

Liu, Dongnan, Zhang, Donghao, Song, Yang, Zhang, Fan, O'Donnell, Lauren, Huang, Heng, Chen, Mei, and Cai, Weidong. "PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images". IEEE Transactions on Medical Imaging 40 (1). Country unknown/Code not available. https://doi.org/10.1109/TMI.2020.3023466. https://par.nsf.gov/biblio/10316294.

@article{osti_10316294,
place = {Country unknown/Code not available}, title = {PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images}, url = {https://par.nsf.gov/biblio/10316294}, DOI = {10.1109/TMI.2020.3023466}, abstractNote = {}, journal = {IEEE Transactions on Medical Imaging}, volume = {40}, number = {1}, author = {Liu, Dongnan and Zhang, Donghao and Song, Yang and Zhang, Fan and O'Donnell, Lauren and Huang, Heng and Chen, Mei and Cai, Weidong}, }