arXiv Computer Vision· Zhanhan Tu, Nikhil Reddy, Helen J. Kuht, Ha-Jun Yoon, Gail D. E. Maconachie, Ravi Purohit, Prateek Pani, Line Kessel, Jinu Han, Jing Jin, Shui-Hua Wang, Karthik Bharadwaj, Viral Sheth, Michael Hisaund, Rebecca J. McLean, George Garratt, Chetan Kantibhai Patel, Kanmin Xue, Callum Hunt, Zisen Zhou, Ian De Silva, Seema Teli, Sonal Shah, Vanessa Rodwell, Aarti Patel, Irene Gottlob, Yu-Dong Zhang, Zedong Zheng, Girish Varma, Mervyn G. Thomas·· 2 小时前AI 评分26
无监督域适应跨设备判别正常与异常视网膜发育的多中心验证
International Multi-Centre Validation of Unsupervised Domain Adaptation for Precise Discrimination between Normal and Abnormal Retinal Development
AI 导读
研究团队开发并评估了一种无监督域适应模型，用于跨不同OCT系统分类正常与异常视网膜发育，数据来自四国五中心及UK Biobank，覆盖四款OCT设备。基于ResNet50的域对抗神经网络在六组源-目标配对中验证，准确率87.75%至96.06%，最佳模型从TM OCT1适配至HH OCT1达96.06%准确率、AUC 0.994。
来源：arXiv Computer Vision · arxiv.org