Author

Aritra Chowdhury

Rensselaer Polytechnic InstitutePrimary ORCID profile (0000-0002-0579-292X · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Aritra ChowdhuryiD1 paper · University of Zurich

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 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Simone BiancoiD· 1 shared Sujoy Kumar BiswasiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Simone BiancoORCID

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1 paper

Recent·Most cited

BioinformaticsSPIE Medical Imaging: Digital and Computational PathologyPeer-reviewedFeb 12, 2021

Active deep learning reduces annotation burden in automatic cell segmentation

Aritra Chowdhury, Sujoy Kumar Biswas, Simone Bianco

This paper applies active deep learning to reduce annotation effort in cellular segmentation, showing reduced training samples and improved segmentation quality.

9 citationstop 3%

mouseimaging

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