Encoder-decoder deep learning network for simultaneous reconstruction of fluorescence yield and lifetime distributions.
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DOI: 10.1364/boe.466349
Abstract: A time-domain fluorescence molecular tomography in reflective geometry (TD-rFMT) has been proposed to circumvent the penetration limit and reconstruct fluorescence distribution within a 2.5-cm depth regardless of the object size. In this paper, an end-to-end… read more here.
Keywords: fluorescence yield; network; lifetime distributions; encoder decoder ... See more keywords