Author

Mengzhi Cao

Worcester Polytechnic InstituteORCID 0009-0001-5698-3654Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Hakho LeeiD· 1 shared Hyungsoon ImiD· 1 shared Jouha MiniD· 1 shared Kwonmoo LeeiD· 1 shared Tzu‐Hsi SongiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Hakho LeeORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 29, 2021

Interpretable Deep Learning for Breast Cancer Cell Phenotyping Using Diffraction Images from Lens-Free Digital In-Line Holography

Tzu‐Hsi Song, Mengzhi Cao, Jouha Min…·Kwonmoo Lee

HoloNet is a deep learning model that analyzes holographic images of breast cancer cells to classify cell types and quantify molecular markers, identifying new subtypes.

3 citations

humanimaging

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