东北大学主页平台 Chen Li--Home--Paper Publications

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Chen Li

Associate professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates

Name (Pinyin):Li Chen
E-Mail:
Education Level:With Certificate of Graduation for Doctorate Study
Gender:Male
Degree:博士
Professional Title:Associate professor
Status:Employed
Alma Mater:德国锡根大学

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Paper Publications Home >> Scientific Research >> Paper Publications: 2022-AIRE-硕士生张敬华一作：Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer （SCI，顶刊，热点论文，高被引论文）.Artificial Intelligence Review

2022-AIRE-硕士生马平理一作：A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approaches （SCI，顶刊）.Artificial Intelligence Review

2022-PR-硕士生刘万里一作：CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classi fication Framework Using CNN, Visual Transformer and Multilayer Perceptron （SCI，顶刊，高被引论文）.Pattern Recognition

2022-FM-硕士生赵鹏一作：EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation （SCI）.Frontiers in Microbiology

2022-AS-硕士生张家伟一作：An Application of Pixel Interval Down-sampling (PID) for Dense Tiny Microorganism Counting on ronmental Microorganism Images （SCI）.Applied Sciences

2022-AS-硕士生杨鹤晨一作：Comparative Study for Patch-Level and Pixel-Level Segmentation of Deep Learning Methods on nsparent Images of Environmental Microorganisms: From Convolutional Neural Networks to Visual Transformers （SCI）.Applied Sciences

2022-ESPR-硕士生Frank一作：A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis （SCI）.Environmental Science and Pollution Research

2022-BSPC-硕士生Frank一作：Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features （SCI）.Biomedical Signal Processing and Control

2022-AS-硕士生张家伟马平理并列一作：SEM-RCNN: A Squeeze-and-Excitation based Mask Region Convolutional Neural Network for Multi-class Environmental Microorganisms Detection （SCI）.Applied Sciences

2022-CIBM-硕士生邹硕家一作：TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videos （SCI）.

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