Xiangchen Wu
Suzhou, China
Last Updated: 09/26/2026
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Found 8 publications
Comprehensive Assessment of Artificial Intelligence as a Stand-Alone Tool for Cervical Cancer Screening Using a 50% Negative Cutoff Value.
Journal: Laboratory investigation; a journal of technical methods and pathology
Published: December 15, 2025
Assessment of the efficiency and accuracy of an artificial intelligence assistive system in the diagnosis of Pap cervical atypical glandular cell cytology.
Journal: Cancer cytopathology
Published: July 01, 2025
Assessment of Efficacy and Accuracy of Cervical Cytology Screening With Artificial Intelligence Assistive System.
Journal: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Published: November 25, 2023
AI-assisted system improves the work efficiency of cytologists via excluding cytology-negative slides and accelerating the slide interpretation.
Journal: Frontiers in oncology
Published: September 07, 2023
CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer.
Journal: Computers in biology and medicine
Published: February 23, 2023
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers.
Journal: Computers in biology and medicine
Published: November 07, 2021
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques.
Journal: Computers in biology and medicine
Published: May 04, 2021
Showing 1-8 of 8
Last Updated: 09/26/2026