Multiobjective guided priors improve the accuracy of near-infrared spectral tomography for breast imaging.
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Bayesian sparse-based reconstruction in bioluminescence tomography improves localization accuracy and reduces computational time.Hemoglobin state-flux: A finite-state model representation of the hemoglobin signal for evaluation of the resting state and the influence of disease.Weighting function effects in a direct regularization method for image-guided near-infrared spectral tomography of breast cancer.
P2860
Multiobjective guided priors improve the accuracy of near-infrared spectral tomography for breast imaging.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Multiobjective guided priors i ...... tomography for breast imaging.
@en
type
label
Multiobjective guided priors i ...... tomography for breast imaging.
@en
prefLabel
Multiobjective guided priors i ...... tomography for breast imaging.
@en
P2093
P2860
P1476
Multiobjective guided priors i ...... tomography for breast imaging.
@en
P2093
Jinchao Feng
Junqing Xu
Keith D Paulsen
Shudong Jiang
P2860
P356
10.1117/1.JBO.21.9.090506
P577
2016-09-01T00:00:00Z