Author

X.-H. Meng

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Pathology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2

Frequent Co-Authors

C. Xu· 2 shared G. Yu· 2 shared H.-W. Deng· 2 shared K.-S. Wang· 2 shared B.-Y. Li· 1 shared C. Liang· 1 shared C. Wu· 1 shared C. Yi· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersPathology

C. Xu

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images

G. Yu, T. Xie, C. Xu, X.-H. Shi, C. Wu, K. Sun, R.-Q. Meng, X.-H. Meng, K.-S. Wang, H.-M. Xiao, H.-W. Deng

This paper develops a semi-supervised deep learning model for colorectal cancer recognition using pathological images, showing it outperforms supervised learning with limited labeled data and matches pathologists' performance.

bioRxiv · Jul 13, 2020Pathology

Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligence

K.-S. Wang, G. Yu, C. Xu, X.-H. Meng, J. Zhou, C. Zheng, Z. Deng, L. Shang, R. Liu, S. Su, X. Zhou, Q. Li, J. Li, J. Wang, K. Ma, , H.-W. Deng

This paper develops an AI tool for colorectal cancer diagnosis using histopathology images, achieving high accuracy and consistency across multiple centers.

bioRxiv · Mar 15, 2020Pathology