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authorId(s): 102146851
Author(s): M. Rahaman
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219
Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches
M. Rahaman, Chen Li, ..., Xin Zhao
2020
150
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
Chen Li, Xintong Li, ..., M. Grzegorzek
2021
142
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques
M. Rahaman, Chen Li, ..., Qian Wang
2021
139
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection
Hao Chen, Chen Li, ..., M. Grzegorzek
2021
123
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks
Xiaomin Zhou, Chen Li, ..., Yueyang Teng
2020
99
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron
Wanli Liu, Chen Li, ..., M. Grzegorzek
2022
97
An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification
Dan Xue, Xiaomin Zhou, ..., Hongzan Sun
2020
94
A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches
Chen Li, Jiawei Zhang, ..., M. Grzegorzek
2021
87
A Survey for Cervical Cytopathology Image Analysis Using Deep Learning
M. Rahaman, Chen Li, ..., Shouliang Qi
2020
83
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach
Hao Chen, Chen Li, ..., M. Grzegorzek
2022

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