Article Automated segmentation of thick confocal microscopy 3D images for the measurement of white matter volumes in zebrafish brains
Sylvain Lempereur, Arnim Jenett, Elodie Machado, Ignacio Arganda-Carreras, Matthieu Simion, Pierre Affaticati, Jean-Stéphane Joly, Hugues Talbot
2020
Lempereur, Sylvain, Jenett, Arnim, Machado, Elodie, Arganda-Carreras, Ignacio, Simion, Matthieu, Affaticati, Pierre, Joly, Jean-Stéphane and Talbot, Hugues. "Automated segmentation of thick confocal microscopy 3D images for the measurement of white matter volumes in zebrafish brains" Mathematical Morphology - Theory and Applications, vol. 4, no. 1, 2020, pp. 31-45. https://doi.org/10.1515/mathm-2020-0100
Lempereur, S., Jenett, A., Machado, E., Arganda-Carreras, I., Simion, M., Affaticati, P., Joly, J. & Talbot, H. (2020). Automated segmentation of thick confocal microscopy 3D images for the measurement of white matter volumes in zebrafish brains. Mathematical Morphology - Theory and Applications, 4(1), 31-45. https://doi.org/10.1515/mathm-2020-0100
Lempereur, S., Jenett, A., Machado, E., Arganda-Carreras, I., Simion, M., Affaticati, P., Joly, J. and Talbot, H. (2020) Automated segmentation of thick confocal microscopy 3D images for the measurement of white matter volumes in zebrafish brains. Mathematical Morphology - Theory and Applications, Vol. 4 (Issue 1), pp. 31-45. https://doi.org/10.1515/mathm-2020-0100
Lempereur, Sylvain, Jenett, Arnim, Machado, Elodie, Arganda-Carreras, Ignacio, Simion, Matthieu, Affaticati, Pierre, Joly, Jean-Stéphane and Talbot, Hugues. "Automated segmentation of thick confocal microscopy 3D images for the measurement of white matter volumes in zebrafish brains" Mathematical Morphology - Theory and Applications 4, no. 1 (2020): 31-45. https://doi.org/10.1515/mathm-2020-0100
Lempereur S, Jenett A, Machado E, Arganda-Carreras I, Simion M, Affaticati P, Joly J, Talbot H. Automated segmentation of thick confocal microscopy 3D images for the measurement of white matter volumes in zebrafish brains. Mathematical Morphology - Theory and Applications. 2020;4(1): 31-45. https://doi.org/10.1515/mathm-2020-0100
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