Search Results for author: Guang Li

Found 11 papers, 1 papers with code

Classifying herbal medicine origins by temporal and spectral data mining of electronic nose

1 code implementation14 Apr 2021 Li Liu, Xianghao Zhan, Ziheng Duan, Yi Wu, Rumeng Wu, Xiaoqing Guan, Zhan Wang, You Wang, Guang Li

In this study, we classified different origins of three categories of herbal medicines with different feature extraction methods: manual feature extraction, mathematical transformation, deep learning algorithms.

Dimensionality Reduction

Soft-Label Anonymous Gastric X-ray Image Distillation

no code implementations7 Apr 2021 Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

The idea of our distillation method is to extract the valid information of the medical dataset and generate a tiny distilled dataset that has a different data distribution.

Model distillation

Self-Supervised Learning for Gastritis Detection with Gastric X-ray Images

no code implementations7 Apr 2021 Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

Furthermore, two baseline methods, one pretrained on ImageNet and the other trained from scratch, were compared with the proposed method.

Self-Supervised Learning

A review of smartphones based indoor positioning: challenges and applications

no code implementations3 Jun 2020 Khuong An Nguyen, Zhiyuan Luo, Guang Li, Chris Watkins

The continual proliferation of mobile devices has encouraged much effort in using the smartphones for indoor positioning.

Tool Breakage Detection using Deep Learning

no code implementations16 Aug 2018 Guang Li, Xin Yang, DuanBing Chen, Anxing Song, Yuke Fang, Junlin Zhou

In this work, we use the spindle current approach to detect the breakage of machine tools, which has the high performance of real-time monitoring, low cost, and easy to install.

CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)

no code implementations10 Aug 2018 Chenyu You, Guang Li, Yi Zhang, Xiaoliu Zhang, Hongming Shan, Shenghong Ju, Zhen Zhao, Zhuiyang Zhang, Wenxiang Cong, Michael W. Vannier, Punam K. Saha, Ge Wang

Specifically, with the generative adversarial network (GAN) as the building block, we enforce the cycle-consistency in terms of the Wasserstein distance to establish a nonlinear end-to-end mapping from noisy LR input images to denoised and deblurred HR outputs.

Computed Tomography (CT) Image Restoration +1

Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising

no code implementations2 May 2018 Chenyu You, Qingsong Yang, Hongming Shan, Lars Gjesteby, Guang Li, Shenghong Ju, Zhuiyang Zhang, Zhen Zhao, Yi Zhang, Wenxiang Cong, Ge Wang

However, the radiation dose reduction compromises the signal-to-noise ratio (SNR), leading to strong noise and artifacts that down-grade CT image quality.

Computed Tomography (CT) Denoising

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