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The level of computational power we can currently access has significantly changed the way we think about, process and interact with image information. In this talk, I will give a broad survey of the exciting work going on in the field of computational imaging – ranging from physical-based computational microscopy methods to machine-learning driven image rendering. As a case study, I will discuss how computational imaging is impacting digital pathology in predictable and surprising ways.
Changhuei Yang
"Computation in imaging: a survey of predictable and surprising developments", Proc. SPIE PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, PC128570C (13 March 2024); https://doi.org/10.1117/12.3011861
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Changhuei Yang, "Computation in imaging: a survey of predictable and surprising developments," Proc. SPIE PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, PC128570C (13 March 2024); https://doi.org/10.1117/12.3011861