Robot-Assisted Optical Coherence Tomography for Automatic Wide-Field Scanning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51485-2_8
Reference17 articles.
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3. Zhang, R., Fan, Y., Qi, W., et al.: Current research and future prospects of IVOCT imaging-based detection of the vascular lumen and vulnerable plaque. J. Biophotonics 15, e202100376 (2022)
4. Luo, S., Fan, Y., Chang, W., et al.: Classification of human stomach cancer using morphological feature analysis from optical coherence tomography images. Laser Phys. Lett. 16, 095602 (2019)
5. Kut, C., Chaichana, K.L., Xi, J., et al.: Detection of human brain cancer infiltration ex vivo and in vivo using quantitative optical coherence tomography. Sci. Transl. Med. 7, 292ra100–292ra291 (2015)
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