In this video I will talk about the different Deep Learning models that I used for my research. You can find more information about those papers in the following links:
CARE (Supervised approach)
Weigert, M., Schmidt, U., Boothe, T. et al. Content-aware image restoration: pushing the limits of fluorescence microscopy. Nat Methods 15, 1090–1097 (2018). doi.org/10.1038/s41592-018-0216-7

Noise2Void (Unsupervised approach)
Krull, Alexander, Tim-Oliver Buchholz, and Florian Jug. "Noise2void-learning denoising from single noisy images." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2019.
arxiv.org/abs/1811.10980

00:00 Intro
00:24 Supervised Vs Unsupervised
00:37 CARE - supervised
02:58 N2V - unsupervised
03:35 CARE paper
04:45 N2V paper
07:27 Evaluation criteria


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