Paper Search Results

authorId(s): 2145734137
Author(s): Xin Zhao

score	citationCount	Paper	Authors	year	More like this	Compare & Contrast	ProNE-s	SciNCL	Specter	GNN
	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	Similar to this	Compare & Contrast
	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	Similar to this	Compare & Contrast
	52	A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential	Frank Kulwa, Chen Li, ..., Yueyang Teng	2019	Similar to this	Compare & Contrast
	43	A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches	Pingli Ma, Chen Li, ..., M. Grzegorzek	2021	Similar to this	Compare & Contrast
	38	A new pairwise deep learning feature for environmental microorganism image analysis	Frank Kulwa, Chen Li, ..., M. Grzegorzek	2021	Similar to this	Compare & Contrast
	28	An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data	Hao Xu, Chen Li, ..., Yueyang Teng	2020	Similar to this	Compare & Contrast
	25	A Review of Clustering Methods in Microorganism Image Analysis	Chen Li, Frank Kulwa, ..., Xin Zhao	2020	Similar to this	Compare & Contrast
	20	A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation	Jinghua Zhang, Chen Li, ..., Hong Li	2020	Similar to this	Compare & Contrast
	15	SEM-RCNN: A Squeeze-and-Excitation-Based Mask Region Convolutional Neural Network for Multi-Class Environmental Microorganism Detection	Jiawei Zhang, Pingli Ma, ..., Chen Li	2022	Similar to this	Compare & Contrast
	13	A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements	Jiawei Zhang, Chen Li, ..., M. Grzegorzek	2022	Similar to this	Compare & Contrast

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