Author

Tae-Yeong Kwak

ORCID 0000-0001-9171-7258Unclaimed 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

Chungyeul KimiD· 1 shared Geongyu LeeiD· 1 shared Hyeyoon ChangiD· 1 shared Joon-Ho LeeiD· 1 shared Min‐Sun JiniD· 1 shared Sun Woo KimiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Chungyeul KimORCID

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1 paper

Recent·Most cited

BioinformaticsBioengineeringPeer-reviewedMay 7, 2024

MurSS: Multi-resolution Selective Segmentation Model for Breast Cancer

Joon-Ho Lee, Geongyu Lee, Tae-Yeong Kwak…·Hyeyoon Chang

MurSS improves breast cancer segmentation by combining multi-resolution context and content information, achieving higher accuracy than existing models.

8 citations

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