Developing global image feature analysis models to predict cancer risk and prognosis [0.03%]
开发全球图像特征分析模型以预测癌症风险和预后
Bin Zheng,Yuchen Qiu,Faranak Aghaei et al.
Bin Zheng et al.
In order to develop precision or personalized medicine, identifying new quantitative imaging markers and building machine learning models to predict cancer risk and prognosis has been attracting broad research interest recently. Most of the...
Extension of emission expectation maximization lookalike algorithms to Bayesian algorithms [0.03%]
发射期望最大化类似算法扩展到贝叶斯算法
Gengsheng L Zeng,Ya Li
Gengsheng L Zeng
We recently developed a family of image reconstruction algorithms that look like the emission maximum-likelihood expectation-maximization (ML-EM) algorithm. In this study, we extend these algorithms to Bayesian algorithms. The family of emi...