光学相干层析成像
深度学习
计算机科学
人工智能
生物医学中的光声成像
光学成像
光学
医学影像学
自适应光学
物理
作者
Lei Tian,Brady Hunt,Muyinatu A. Lediju Bell,Ji Yi,Jason T. Smith,Marien Ochoa,Xavier Intes,Nicholas J. Durr
摘要
This article reviews deep learning applications in biomedical optics with a particular emphasis on image formation. The review is organized by imaging domains within biomedical optics and includes microscopy, fluorescence lifetime imaging, in vivo microscopy, widefield endoscopy, optical coherence tomography, photoacoustic imaging, diffuse tomography, and functional optical brain imaging. For each of these domains, we summarize how deep learning has been applied and highlight methods by which deep learning can enable new capabilities for optics in medicine. Challenges and opportunities to improve translation and adoption of deep learning in biomedical optics are also summarized. Lasers Surg. Med. © 2021 Wiley Periodicals LLC
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