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III Interferometric Multispectral Imaging

1996
Publisher 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.
openaire   +1 more source

Multispectral image-guided surgery in patients

Nature Biomedical Engineering, 2020
H. Choi, Hyun Koo Kim
semanticscholar   +1 more source

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods, 2020
Fabian Isensee   +2 more
exaly  

Ultrafast machine vision with 2D material neural network image sensors

Nature, 2020
Lukas Mennel   +2 more
exaly  

Image-based profiling for drug discovery: due for a machine-learning upgrade?

Nature Reviews Drug Discovery, 2020
Srinivas Niranj Chandrasekaran   +2 more
exaly  

Image-guided cancer surgery using near-infrared fluorescence

Nature Reviews Clinical Oncology, 2013
Alexander L Vahrmeijer   +1 more
exaly  

A survey on deep learning in medical image analysis

Medical Image Analysis, 2017
Geert Js Litjens   +2 more
exaly  

ilastik: interactive machine learning for (bio)image analysis

Nature Methods, 2019
Stuart Berg   +2 more
exaly  

Flat optics for image differentiation

Nature Photonics, 2020
You Zhou, Hanyu Zheng, Ivan I Kravchenko
exaly  

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