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most citedLarge-Area Aiming Synthesis of WSe2 Monolayers

1.1k citations

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6 papers · 1 filter

cs.CV2025★ 1 cited

Non-Contrast CT Esophageal Varices Grading through Clinical Prior-Enhanced Multi-Organ Analysis

Xiaoming Zhang, Chunli Li, Jiacheng Hao +9

Esophageal varices (EV) represent a critical complication of portal hypertension, affecting approximately 60% of cirrhosis patients with a significant bleeding risk of ~30%. While…

cs.CV2022★ 137 cited

IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach

Haoyuan Chen, Chen Li, Xiaoyan Li +8

In recent years, colorectal cancer has become one of the most significant diseases that endanger human health. Deep learning methods are increasingly important for the classificati…

cs.CV2021★ 239 cited

GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection

Haoyuan Chen, Chen Li, Ge Wang +9

In this paper, a multi-scale visual transformer model, referred as GasHis-Transformer, is proposed for Gastric Histopathological Image Detection (GHID), which enables the automatic…

cs.CV2020★ 25 cited

Local Label Point Correction for Edge Detection of Overlapping Cervical Cells

Jiawei Liu, Huijie Fan, Qiang Wang +5

Accurate labeling is essential for supervised deep learning methods. However, it is almost impossible to accurately and manually annotate thousands of images, which results in many…

cs.CV2020★ 70 cited

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…

cs.CV2020★ 61 cited

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…