Chen Li

According to our database1, Chen Li authored at least 21 papers between 2018 and 2020.

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Bibliography

2020
A Comprehensive Review for MRF and CRF Approaches in Pathology Image Analysis.
CoRR, 2020

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks.
CoRR, 2020

A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation.
CoRR, 2020

A review for cervical histopathology image analysis using machine vision approaches.
Artif. Intell. Rev., 2020

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks.
IEEE Access, 2020

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification.
IEEE Access, 2020

A Survey for Cervical Cytopathology Image Analysis Using Deep Learning.
IEEE Access, 2020

Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos.
IEEE Access, 2020

A SARS-CoV-2 Microscopic Image Dataset with Ground Truth Images and Visual Features.
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

2019
Graph Regularized Sparse Autoencoders with Nonnegativity Constraints.
Neural Process. Lett., 2019

A novel framework for the NMF methods with experiments to unmixing signals and feature representation.
J. Comput. Appl. Math., 2019

A survey for the applications of content-based microscopic image analysis in microorganism classification domains.
Artif. Intell. Rev., 2019

Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images.
IEEE Access, 2019

Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework.
IEEE Access, 2019

Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning.
IEEE Access, 2019

A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential.
IEEE Access, 2019

Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Cervical Histopathology Image Classification Using Ensembled Transfer Learning.
Proceedings of the Information Technology in Biomedicine, 2019

A Survey for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks.
Proceedings of the Information Technology in Biomedicine, 2019

Weakly Supervised Cervical Histopathological Image Classification Using Multilayer Hidden Conditional Random Fields.
Proceedings of the Information Technology in Biomedicine, 2019

2018
A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks.
Proceedings of the Information Technology in Biomedicine, 2018


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