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Updated: May 22, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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一种人工智能方法用于OCT衍生厚度图的表型化,使用无监督和自我监督的深度学习

Saber Kazeminasab1, Sayuri Sekimitsu2, Mojtaba Fazli3

  • 1Harvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Harvard University, Boston, MA, USA. skazeminasabhashemabad@meei.harvard.edu.

Journal of imaging informatics in medicine
|May 20, 2025
PubMed
概括

人工智能 (AI) 通过分析光学连贯断层扫描 (OCT) 图像来推进眼科疾病研究. 一种新的人工智能方法成功地将OCT表型跨数据集转移,识别出临床上有意义的视网膜层集群,用于青光眼研究.

关键词:
集群集成是指集群集成.相关性分析是一项相关性分析.深度无监督学习 (Deep unsupervised learning) 是一种无监督的学习方式.缩小尺寸的缩小方式图像表型为OCT图像的图像表型.在特征提取方面进行自我监督学习.

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