Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks
Purpose Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to address the inverse problem of converting pixel-wise multispectral reflectance measurements to underlying tissue parameters, su...
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Veröffentlicht in: | International journal for computer assisted radiology and surgery 2019-06, Vol.14 (6), p.997-1007 |
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Sprache: | eng |
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