Author

M. Amgad

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

Biology Disciplines

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Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

C. Tang· 1 shared D. Luo· 1 shared D. M. Yang· 1 shared F. Wu· 1 shared G. Xiao· 1 shared H. Sheng· 1 shared K. W. Jin· 1 shared L. A. D. Cooper· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

C. Tang

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1 paper

Recent·Most cited

A Deep Learning Approach for Histology-Based Nuclei Segmentation and Tumor Microenvironment Characterization

R. Rong, H. Sheng, K. W. Jin, F. Wu, D. Luo, Z. Wen, C. Tang, D. M. Yang, L. Jia, M. Amgad, L. A. D. Cooper, Y. Xie, X. Zhan, S. Wang, G. Xiao

This study introduces HD-Yolo, a deep learning method for faster and more accurate nuclei segmentation and tumor microenvironment quantification in whole-slide images.

bioRxiv · Dec 8, 2022 · PreprintPathology