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III Interferometric Multispectral Imaging
1996Publisher Summary This chapter describes the interferometric multispectral imaging. Efficient techniques for spectral imaging have potential applications in diverse fields such as global assessment of the environment and natural resources, surveillance for agriculture, and visual inspection in industries and biomedicine.
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Multispectral image-guided surgery in patients
Nature Biomedical Engineering, 2020H. Choi, Hyun Koo Kim
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nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Nature Methods, 2020Fabian Isensee +2 more
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Ultrafast machine vision with 2D material neural network image sensors
Nature, 2020Lukas Mennel +2 more
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Image-based profiling for drug discovery: due for a machine-learning upgrade?
Nature Reviews Drug Discovery, 2020Srinivas Niranj Chandrasekaran +2 more
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Image-guided cancer surgery using near-infrared fluorescence
Nature Reviews Clinical Oncology, 2013Alexander L Vahrmeijer +1 more
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A survey on deep learning in medical image analysis
Medical Image Analysis, 2017Geert Js Litjens +2 more
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ilastik: interactive machine learning for (bio)image analysis
Nature Methods, 2019Stuart Berg +2 more
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Flat optics for image differentiation
Nature Photonics, 2020You Zhou, Hanyu Zheng, Ivan I Kravchenko
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