no code implementations • 7 Sep 2021 • Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu
Compared to other state-of-the-art transfer learning methods, our method accurately segmented more bronchi in the noisy CT scans.
1 code implementation • 11 Jan 2021 • Zhiming Zhang, Jin Yan, Liangding Li, Hong Pan, Chuanzhi Dong
A deep learning model, long short term memory fully convolutional network (LSTM-FCN), is leveraged by assigning appropriate inputs and representative class labels for the TSC problem, First, a TSC classifier is trained and validated using the data collected under intact conditions of stay cables, setting the segmented data series as input and the cable (or cable pair) ID as class labels.
no code implementations • 2 Jul 2020 • Boyu Zhang, A. K. Qin, Hong Pan, Timos Sellis
The training set is used for training the model while the validation set is used to estimate the generalization performance of the trained model as the training proceeds to avoid over-fitting.
no code implementations • 2 Jul 2020 • Ziqiang Li, Hong Pan, Yaping Zhu, A. K. Qin
Position information is explicitly encoded into the network to enhance the capabilities of deformation.
no code implementations • 13 Mar 2016 • Huamin Ren, Hong Pan, Søren Ingvor Olsen, Thomas B. Moeslund
Sparse representation has been applied successfully in abnormal event detection, in which the baseline is to learn a dictionary accompanied by sparse codes.