A Laplace-Hamming Binarization Approach for Second-Generation HR-pQCT Rescues Fine Feature Segmentation.
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| Title: | A Laplace-Hamming Binarization Approach for Second-Generation HR-pQCT Rescues Fine Feature Segmentation. |
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| Authors: | Sadoughi S; Bone Quality Research Lab, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Subramanian A; Bone Quality Research Lab, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Ramil G; Bone Quality Research Lab, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Burghardt AJ; Bone Quality Research Lab, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Kazakia GJ; Bone Quality Research Lab, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA. |
| Source: | Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research [J Bone Miner Res] 2023 Jul; Vol. 38 (7), pp. 1006-1014. Date of Electronic Publication: 2023 May 13. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 8610640 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1523-4681 (Electronic) Linking ISSN: 08840431 NLM ISO Abbreviation: J Bone Miner Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1523-4681 |
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| DOI: | 10.1002/jbmr.4819 |
