Chen Li
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Identification of COVID-19 Samples from Chest X-Ray Images Using Deep Learning: A Comparison of Transfer Learning Approaches
MM Rahaman, C Li (corresponding author), Y Yao, F Kulwa, MA Rahman, ...
Journal of X-Ray Science and Technology 28 (5), 821--839, 2020
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks
X Zhou, C Li (Corresponding Author), MM Rahaman, Y Yao, S Ai, C Sun, ...
IEEE Access 8 (1), 90931--90956, 2020
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection
H Chen, C Li(corresponding author), G Wang(corresponding author), X Li, ...
Pattern Recognition 130, 108827, 2022
LCU-Net: A Novel Low-cost U-Net for Environmental Microorganism Image Segmentation
J Zhang, C Li(corresponding author), S Kosov, M Grzegorzek, ...
Pattern Recognition 115, 1--17, 2021
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques
MM Rahaman, C Li(corresponding author), Y Yao, F Kulwa, X Wu, X Li, ...
Computers in Biology and Medicine 136, 1--12, 2021
An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification
D Xue, X Zhou, C Li (corresponding author), Y Yao, M Rahaman, J Zhang, ...
IEEE Access 8 (1), 104603--104618, 2020
A Survey for Cervical Cytopathology Image Analysis Using Deep Learning
MM Rahaman, C Li (Corresponding Author), X Wu, Y Yao, Z Hu, T Jiang, ...
IEEE Access 8 (1), 61687--61710, 2020
Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images
B Zhang, S Qi, P Monkam, C Li, F Yang, Y Yao, W Qian
IEEE Access 7 (1), 110358--110371, 2019
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
X Li, C Li(corresponding author), MM Rahaman, H Sun, X Li, J Wu, Y Yao, ...
Artificial Intelligence Review 55, 4809--4878, 2022
Environmental microorganism classification using conditional random fields and deep convolutional neural networks
S Kosov, K Shirahama, C Li, M Grzegorzek
Pattern Recognition 77, 248--261, 2018
A survey for the applications of content-based microscopic image analysis in microorganism classification domains
C Li, K Wang, N Xu
Artificial Intelligence Review 51 (4), 577--646, 2019
A Review for Cervical Histopathology Image Analysis Using Machine Vision Approaches
C Li, H Chen, X Li, N Xu, Z Hu, D Xue, S Qi, H Ma, L Zhang, H Sun
Artificial Intelligence Review 53, 4821--4862, 2020
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches
J Zhang, C Li(corresponding author), MM Rahaman, Y Yao, P Ma, ...
Artificial Intelligence Review 55, 2875-–2944, 2022
A State-of-the-art Survey for Microorganism Image Segmentation Methods and Future Potential
F Kulwa, C Li (Corresponding Author), X Zhao, B Cai, N Xu, S Qi, S Chen, ...
IEEE Access 7 (1), 100243--100269, 2019
Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural …
J Zhang, C Li(corresponding author), Y Yin, J Zhang, M Grzegorzek
Artificial Intelligence Review 56, 1013--1070, 2023
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron
W Liu, C Li(corresponding author), N Xu, T Jiang, M Rahaman, H Sun, ...
Pattern Recognition 130, 108829, 2022
IL-MCAM: An Interactive Learning and Multi-channel Attention Mechanism-based Semi-supervised Colorectal Histopathology Image Classification Approach
H Chen, C Li(corresponding author), X Li, M Rahaman, W Hu, Y Li, W Liu, ...
Computers in Biology and Medicine 143, 105265, 2022
Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning
C Li, H Chen, L Zhang, N Xu, D Xue, Z Hu, H Ma, H Sun
IEEE Access 7 (1), 90378--90397, 2019
A Comprehensive Review of Markov Random Field and Conditional Random Field Approaches in Pathology Image Analysis
Y Li, C Li(corresponding author), X Li, K Wang, M Rahaman, C Sun, ...
Archives of Computational Methods in Engineering 2021, 1--31, 2021
Application of content-based image analysis to environmental microorganism classification
C Li, K Shirahama, M Grzegorzek
Biocybernetics and Biomedical Engineering 35 (1), 10--21, 2015
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