no code implementations • 7 Jun 2022 • HaoYuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek
In addition, we conducted an ablation experiment and an interchangeability experiment to verify the ability and interchangeability of the three channels.
no code implementations • 2 Jun 2022 • Wanli Liu, Chen Li, Ning Xu, Tao Jiang, Md Mamunur Rahaman, Hongzan Sun, Xiangchen Wu, Weiming Hu, HaoYuan Chen, Changhao Sun, YuDong Yao, Marcin Grzegorzek
Cervical cytopathology image classification is an important method to diagnose cervical cancer.
no code implementations • 25 May 2022 • Weiming Hu, HaoYuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Chen Li
Ensemble learning is a way to improve the accuracy of algorithms, and finding multiple learning models with complementarity types is the basis of ensemble learning.
no code implementations • 17 Feb 2022 • Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Yong Zhang, HaoYuan Chen, Wanli Liu, YuDong Yao, Hongzan Sun, Ning Xu, Xinyu Huang, Marcin Grzegorze
Traditional machine learning methods achieve maximum accuracy of 76. 02% and deep learning method achieves a maximum accuracy of 95. 37%.
no code implementations • 14 Feb 2022 • Jian Wu, Wanli Liu, Chen Li, Tao Jiang, Islam Mohammad Shariful, Hongzan Sun, Xiaoqi Li, Xintong Li, Xinyu Huang, Marcin Grzegorzek
Image analysis technology is used to solve the inadvertences of artificial traditional methods in disease, wastewater treatment, environmental change monitoring analysis and convolutional neural networks (CNN) play an important role in microscopic image analysis.
1 code implementation • 4 Jun 2021 • Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Yong Zhang, HaoYuan Chen, Wanli Liu, Changhao Sun, YuDong Yao, Hongzan Sun, Marcin Grzegorzek
In order to prove that the methods of different periods in the field of image classification have discrepancies on GasHisSDB, we select a variety of classifiers for evaluation.
no code implementations • 3 Jun 2021 • Ao Chen, Chen Li, HaoYuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Marcin Grzegorzek
In this paper, we first briefly review the development of Convolutional Neural Network and Visual Transformer in deep learning, and introduce the sources and development of conventional noises and adversarial attacks.
no code implementations • 16 May 2021 • Wanli Liu, Chen Li, Md Mamunur Rahamana, Tao Jiang, Hongzan Sun, Xiangchen Wu, Weiming Hu, HaoYuan Chen, Changhao Sun, YuDong Yao, Marcin Grzegorzek
The results of the study indicate that deep learning models are robust to changes in the aspect ratio of cells in cervical cytopathological images.
no code implementations • 29 Apr 2021 • HaoYuan Chen, Chen Li, Ge Wang, Xiaoyan Li, Md Rahaman, Hongzan Sun, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Shiliang Ai, Marcin Grzegorzek
In this paper, a multi-scale visual transformer model, referred as GasHis-Transformer, is proposed for Gastric Histopathological Image Detection (GHID), which enables the automatic global detection of gastric cancer images.
no code implementations • WS 2019 • Jihang Mao, Wanli Liu
In this paper, we present our participation in the Bacteria Biotope (BB) task at BioNLP-OST 2019.
Ranked #4 on Medical Concept Normalization on BB-norm-phenotype