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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
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A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
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DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques
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GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection
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A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks
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Yueyang Teng
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CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron
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An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification
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A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches
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A Survey for Cervical Cytopathology Image Analysis Using Deep Learning
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IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach
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