no code implementations • 22 Apr 2022 • Pingping Dai, Haiming Zhu, Shuang Ge, Ruihan Zhang, Xiang Qian, Xi Li, Kehong Yuan
In this paper, inspired by self-training of semi-supervised learning, we pro? pose a novel approach to solve the lack of annotated data from another angle, called medical image pixel rearrangement (short in MIPR).
no code implementations • 20 Mar 2022 • Pingping Dai, Licong Dong, Ruihan Zhang, Haiming Zhu, Jie Wu, Kehong Yuan
The medical datasets are usually faced with the problem of scarcity and data imbalance.
no code implementations • 8 Mar 2021 • Kezhang Zhu, Junhua Mei, Yuming Su, Pingping Dai, Nicola D'Ascenzo, Hao Wang, Peng Xiao, Lin Wan, Qingguo Xie
After processing 30, 000 randomly-chosen pulses sampled by the oscilloscope with a 22Na point source, our method achieves an energy resolution of 17. 50% within a 450-650 KeV energy window, which is 2. 44% better than the result of traditional MVT with same thresholds; and we get a count number at 15225 in the same energy window while the result of MVT is at 14678.