Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning [0.03%]
结合运动估计、补偿重建、生物力学建模和深度学习的先进四维锥形束计算成像重建技术
You Zhang,Xiaokun Huang,Jing Wang
You Zhang
4-Dimensional cone-beam computed tomography (4D-CBCT) offers several key advantages over conventional 3D-CBCT in moving target localization/delineation, structure de-blurring, target motion tracking, treatment dose accumulation and adaptive...
Adaptive deep learning for head and neck cancer detection using hyperspectral imaging [0.03%]
基于高光谱成像的自适应深度学习口腔肿瘤检测方法研究
Ling Ma,Guolan Lu,Dongsheng Wang et al.
Ling Ma et al.
It can be challenging to detect tumor margins during surgery for complete resection. The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissue adaptively for cancer detecti...
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...