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
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 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
An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classication
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 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
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
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
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
Classification of environmental microorganisms in microscopic images using shape features and support vector machines
C Li, K Shirahama, M Grzegorzek, F Ma, B Zhou
ICIP 2013, 2435--2439, 2013
Shape-based classification of environmental microorganisms
C Yang, C Li, O Tiebe, K Shirahama, M Grzegorzek
ICPR 2014, 3374--3379, 2014
Gastric Histopathology Image Segmentation Using a Hierarchical Conditional Random Field
C Sun, C Li (corresponding author), J Zhang, M Rahaman, S Ai, H Chen, ...
Biocybernetics and Biomedical Engineering 40 (4), 1135-1155, 2020
Environmental microorganism image retrieval using multiple colour channels fusion and particle swarm optimisation
Y Zou, C Li, K Shirahama, T Jiang, M Grzegorzek
ICIP 2016, 2475--2479, 2016
Content-based Microscopic Image Analysis
C Li
Logos Verlag Berlin GmbH, 2016
Environmental microbiology aided by content-based image analysis
C Li, K Shirahama, M Grzegorzek
Pattern Analysis and Applications 19 (2), 531--547, 2016
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
Deep CNN Model Using CT Radiomics Feature Mapping Recognizes EGFR Gene Mutation Status of Lung Adenocarcinoma
B Zhang, S Qi, X Pan, C Li, Y Yao, W Qian, Y Guan
Frontiers in Oncology 10, 1--14, 2021
Environmental microorganism classification using sparse coding and weakly supervised learning
C Li, K Shirahama, M Grzegorzek
EMR@ICMR 2015, 9--14, 2015
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