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Jinghua Zhang
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An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification
D Xue, X Zhou, C Li, Y Yao, M Rahaman, J Zhang, H Chen, H Sun, ...
IEEE Access 8, 104603-104618, 2020
362020
LCU-Net: A Novel Low-cost U-Net for Environmental Microorganism Image Segmentation
J Zhang, C Li, S Kosov, M Grzegorzek, K Shirahama, T Jiang, C Sun, Z Li, ...
Pattern Recognition 115, 107885, 2021
202021
Gastric histopathology image segmentation using a hierarchical conditional random field
C Sun, C Li, J Zhang, MM Rahaman, S Ai, H Chen, F Kulwa, Y Li, X Li, ...
Biocybernetics and Biomedical Engineering 40 (4), 1535-1555, 2020
182020
A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches
J Zhang, C Li, MM Rahaman, Y Yao, P Ma, J Zhang, X Zhao, T Jiang, ...
Artificial Intelligence Review 55 (4), 2875–2944, 2021
112021
A Review of Clustering Methods in Microorganism Image Analysis
C Li, F Kulwa, J Zhang, Z Li, H Xu, X Zhao
Advances in Intelligent Systems and Computing 1186, 13-25, 2020
112020
An enhanced framework of generative adversarial networks (EF-GANs) for environmental microorganism image augmentation with limited rotation-invariant training data
H Xu, C Li, MM Rahaman, Y Yao, Z Li, J Zhang, F Kulwa, X Zhao, S Qi, ...
IEEE Access 8, 187455-187469, 2020
82020
A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation
J Zhang, C Li, F Kulwa, X Zhao, C Sun, Z Li, T Jiang, H Li, S Qi
BioMed Research International 2020, 4621403, 2020
82020
MRFU-Net: A Multiple Receptive Field U-Net for Environmental Microorganism Image Segmentation
C Li, J Zhang, X Zhao, F Kulwa, Z Li, H Xu, H Li
Advances in Intelligent Systems and Computing 1186, 27-40, 2020
72020
Hierarchical conditional random field model for multi-object segmentation in gastric histopathology images
C Sun, C Li, J Zhang, F Kulwa, X Li
Electronics Letters 56 (15), 750--753, 2020
72020
A state-of-the-art review for Gastric Histopathology image Analysis approaches and future development
S Ai, C Li, X Li, T Jiang, M Grzegorzek, C Sun, MM Rahaman, J Zhang, ...
BioMed Research International 2021, 6671417, 2021
62021
EMDS-5: Environmental Microorganism image dataset Fifth Version for multiple image analysis tasks
Z Li, C Li, Y Yao, J Zhang, MM Rahaman, H Xu, F Kulwa, B Lu, X Zhu, ...
Plos one 16 (5), e0250631, 2021
62021
A cervical histopathology image clustering approach using graph based features
C Li, Z Hu, H Chen, S Ai, J Zhang, Y Zhang, Q Wang, X Li
SN Computer Science 2 (2), 1-20, 2021
22021
A Survey of Sperm Detection Techniques in Microscopic Videos
W Zhao, S Zou, C Li, J Li, J Zhang, P Ma, Y Gu, P Xu, X Bu
The Fourth International Symposium on Image Computing and Digital Medicine …, 2020
22020
Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural …
J Zhang, C Li, Y Yin, J Zhang, M Grzegorzek
Artificial Intelligence Review, Online, 2022
12022
A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis
F Kulwa, C Li, J Zhang, K Shirahama, S Kosov, X Zhao, H Sun, T Jiang, ...
Environmental Science and Pollution Research, Online first, 2022
12022
A New Microorganism Dataset for Image Segmentation and Classification Evaluation
Z Li, C Li, J Zhang, H Xu, H Yuan, X Zhu, B Lu
The Fourth International Symposium on Image Computing and Digital Medicine …, 2020
12020
Microscopic Image Augmentation Using an Enhanced WGAN
H Xu, C Li, J Zhang, Z Li, C Sun, X Zhao
The Fourth International Symposium on Image Computing and Digital Medicine …, 2020
12020
An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images
J Zhang, N Xu, C Li, MM Rahaman, YD Yao, YH Lin, J Zhang, T Jiang, ...
arXiv preprint arXiv:2204.01341, 2022
2022
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers
H Yang, C Li, P Zhao, A Chen, X Zhao, M Grzegorzek
arXiv e-prints, arXiv: 2106.11582, 2021
2021
A Comparison of Segmentation Methods in Gastric Histopathology Images
C Sun, C Li, H Xu, J Zhang, S Ai, X Zhou, X Li
The Fourth International Symposium on Image Computing and Digital Medicine …, 2020
2020
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