322 citations · 1.2k across the 34 of their papers we have counts for
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A Comprehensive Review for MRF and CRF Approaches in Pathology Image Analysis
Yixin Li, Chen Li, Xiaoyan Li +7
Pathology image analysis is an essential procedure for clinical diagnosis of many diseases. To boost the accuracy and objectivity of detection, nowadays, an increasing number of co…
A SARS-CoV-2 Microscopic Image Dataset with Ground Truth Images and Visual Features
Chen Li, Jiawei Zhang, Frank Kulwa +2
SARS-CoV-2 has characteristics of wide contagion and quick propagation velocity. To analyse the visual information of it, we build a SARS-CoV-2 Microscopic Image Dataset (SC2-MID)…
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks
Xiaomin Zhou, Chen Li, Md Mamunur Rahaman +6
Breast cancer is one of the most common and deadliest cancers among women. Since histopathological images contain sufficient phenotypic information, they play an indispensable role…
A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation
Jinghua Zhang, Chen Li, Frank Kulwa +6
To assist researchers to identify Environmental Microorganisms (EMs) effectively, a Multiscale CNN-CRF (MSCC) framework for the EM image segmentation is proposed in this paper. The…
Gastric histopathology image segmentation using a hierarchical conditional random field
Changhao Sun, Chen Li, Jinghua Zhang +7
For the Convolutional Neural Networks (CNNs) applied in the intelligent diagnosis of gastric cancer, existing methods mostly focus on individual characteristics or network framewor…