no code implementations • 4 Mar 2022 • Xi Chen, Jiahuan Lv, Dehua Feng, Xuanqin Mou, Ling Bai, Shu Zhang, Zhiguo Zhou
Accurately identifying patient's status through medical images plays an important role in diagnosis and treatment.
no code implementations • 29 Sep 2021 • Xi Chen, Jiahuan Lv, Xuanqing Mou, Zhiguo Zhou
The experimental study demonstrated that AutoMO-Mixer can obtain better performance compared with Mixer and CNN.
no code implementations • journal 2019 • Liyuan Chen, Zhiguo Zhou, David Sher, Qiongwen Zhang, Jennifer Shah, Nhat-Long Pham, Steve Jiang, Jing Wang
The hybrid method provides a more accurate way for predicting LNM using PET and CT.
no code implementations • 31 Oct 2018 • Xiao Liang, Liyuan Chen, Dan Nguyen, Zhiguo Zhou, Xuejun Gu, Ming Yang, Jing Wang, Steve Jiang
Dose calculation accuracy using sCT images has been improved over the original CBCT images, with the average Gamma Index passing rate increased from 95. 4% to 97. 4% for 1 mm/1% criteria.
Medical Physics
no code implementations • 7 Sep 2018 • Shulong Li, Panpan Xu, Bin Li, Liyuan Chen, Zhiguo Zhou, Hongxia Hao, Yingying Duan, Michael Folkert, Jianhua Ma, Steve Jiang, Jing Wang
The fusion algorithm takes full advantage of the handcrafted features and the highest level CNN features learned at the output layer.
no code implementations • 9 Jul 2018 • Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve Jiang, Jing Wang
Since not all radiomic features contribute to an effective classifying model, selecting an optimal feature subset is critical.
no code implementations • 4 Oct 2017 • Zhiguo Zhou, Zhi-Jie Zhou, Hongxia Hao, Shulong Li, Xi Chen, You Zhang, Michael Folkert, Jing Wang
First, the predictive performance of the model may be reduced when features extracted from an individual imaging modality are blindly combined into a single predictive model.