Author

Matthieu Broisin

Broad Institute

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Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Allen GoodmaniD· 1 shared Anne Elizabeth CarpenteriD· 1 shared Claire McQuin· 1 shared Csaba MolnáriD· 1 shared Fabian Joachim TheisiD· 1 shared Jonathan RothiD· 1 shared Juan C. CaicedoiD· 1 shared Kyle W. KarhohsiD· 1 shared

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2019-2019 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Allen GoodmanORCID

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1 paper

Recent·Most cited

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

Juan C. Caicedo, Jonathan Roth, Allen Goodman, Tim Becker, Kyle W. Karhohs, Matthieu Broisin, Csaba Molnár, Claire McQuin, Shantanu Singh, Fabian Joachim Theis, Anne Elizabeth Carpenter

This study evaluates deep learning strategies for nucleus segmentation in fluorescence images, showing U-Net outperforms classical methods and reduces biologically relevant errors.

Cytometry Part A · Jul 16, 2019Peer-reviewedBioinformatics