Author

Napat Laosaengpha

Chulalongkorn University

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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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

Chawan PiansaddhayanoniD· 1 shared Chonnuttida Koracharkornradt· 1 shared Ekapol ChuangsuwanichiD· 1 shared Nipan IsrasenaiD· 1 shared Praewphan IngrungruanglertiD· 1 shared Qingyi TaoiD· 1 shared Sira SriswasdiiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Chawan PiansaddhayanonORCID

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1 paper

Recent·Most cited

Label-free tumor cells classification using deep learning and high-content imaging

Chawan Piansaddhayanon, Chonnuttida Koracharkornradt, Napat Laosaengpha, Qingyi Tao, Praewphan Ingrungruanglert, Nipan Israsena, Ekapol Chuangsuwanich, Sira Sriswasdi

The paper develops a deep learning model to classify tumor cells from normal cells using high-content imaging, achieving an AUROC of 0.78 on a dataset of organoid-derived cells.

Scientific Data · Aug 26, 2023Peer-reviewedBioinformatics