Author

R. W. Goulet

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Bioengineering· 1

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Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1

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B. Provencher· 1 shared D. M. Patton· 1 shared E. M. R. Bigelow· 1 shared E. N. Henning· 1 shared K. J. Jepsen· 1 shared M. Marsh· 1 shared N. Piche· 1 shared S. K. Carroll· 1 shared

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2021-2021 · peak 1/yr

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1 shared paperBioengineering

B. Provencher

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintJul 27, 2021

Deep learning-based segmentation of high-resolution computed tomography image data outperforms commonly used automatic bone segmentation methods

D. M. Patton, E. N. Henning, R. W. Goulet…·T. L. Bredbenner

This study compares deep learning-based segmentation using U-Net with thresholding methods for CT bone data, finding U-Net outperforms thresholding and can generalize across anatomical sites and scanners.

DOI 10.1101/2021.07.27.453890

humanimaging

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