Abstract
This work proposes an unsupervised deep learning-based image translation from Harmonic generation microscopy (HGM) to widely used H&E-stained images. The proposed methodology is promising and hopefully will facilitate adopting HGM in clinical workflows.
© 2023 The Author(s)
PDF ArticleMore Like This
Kevin de Haan, Yijie Zhang, Jonathan E. Zuckerman, Tairan Liu, Yair Rivenson, W. Dean Wallace, and Aydogan Ozcan
ATh2I.4 CLEO: Applications and Technology (CLEO:A&T) 2022
Yi-Jiun Shen, En-Yu Liao, Tsung-Ming Tai, Yi-Hua Liao, Chi-Kuang Sun, Cheng-Kuang Lee, Simon See, and Hung-Wen Chen
JW7A.126 Frontiers in Optics (FiO) 2021
Hyesuk Chae, Joonsung Jeon, Kyung Chul Lee, Ji Ung Choi, Kyungwon Lee, and Seung Ah Lee
JM2B.1 Computational Optical Sensing and Imaging (COSI) 2023