Deep Learning in Biomedical Optics. Issue 6 (20th May 2021)

• Record Type: Journal Article
• Authors: Tian, Lei; Hunt, Brady; Bell, Muyinatu A. Lediju; Yi, Ji; Smith, Jason T.; Ochoa, Marien; Intes, Xavier; Durr, Nicholas J.
• Other Names: Kang Dongkyun guestEditor.; Ozcan Aydogan guestEditor.; Tearney Guillermo J. guestEditor.
• Is Part Of: Lasers in surgery and medicine. Volume 53:Issue 6(2021)
• Page Start: 748
• Page End: 775
• Publication Date: 2021-05-20
• Subjects: biomedical optics -- biophotonics -- deep learning -- machine learning -- computer aided detection -- microscopy -- fluorescence lifetime -- in vivo microscopy -- optical coherence tomography -- photoacoustic imaging -- diffuse tomography -- functional optical brain imaging -- widefield endoscopy; Lasers in medicine -- Periodicals; Lasers in surgery -- Periodicals; 617
• DOI: 10.1002/lsm.23414
• Languages: English
• ISSNs: 0196-8092

Abstract

Abstract : 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