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Published in 2021 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-021-02358-5
Abstract: Knowing the early lesion detection of fundus images is very important to prevent blindness, and accurate lesion segmentation can provide doctors with diagnostic evidence. This study proposes a method based on improved Hessian matrix eigenvalue…
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Keywords:
detection;
microaneurysms hemorrhages;
based improved;
improved hessian ... See more keywords
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Published in 2018 at "Journal of Biomedical Optics"
DOI: 10.1117/1.jbo.23.4.046006
Abstract: Abstract. For the diagnosis and evaluation of ophthalmic diseases, imaging and quantitative characterization of vasculature in the iris are very important. The recently developed photoacoustic imaging, which is ultrasensitive in imaging endogenous hemoglobin molecules, provides…
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Keywords:
three dimensional;
vasculature;
microscopy;
dimensional hessian ... See more keywords
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Published in 2019 at "GEOPHYSICS"
DOI: 10.1190/geo2018-0533.1
Abstract: We have developed an explicit inverse approach with a Hessian matrix for the least-squares (LS) implementation of prestack time migration (PSTM). A full Hessian matrix is divided into a series of computationally tractable small-sized matrices…
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Keywords:
least squares;
matrix;
hessian matrix;
blockwise hessian ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app11010323
Abstract: Different from conventional imaging, ghost imaging (GI) is an indirect modality of imaging that needs multiple measurements of the second-order correlation of data collected from two detectors. In some particular cases, the exposure time of…
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Keywords:
motion blur;
hessian matrix;
motion;
ghost imaging ... See more keywords