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| Web-Based Spine Segmentation Using Deep Learning in Computed Tomography Images |
| Young Jae Kim, Bilegt Ganbold, Kwang Gi Kim |
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Healthc Inform Res. 2020;26(1):61-67. Published online January 31, 2020 DOI: https://doi.org/10.4258/hir.2020.26.1.61 |
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Web-Based Spine Segmentation Using Deep Learning in Computed Tomography Images Healthcare Informatics Research. 2020;26(1):61  A Review of Image Segmentation Methods for Lung Nodule Detection Based on Computed Tomography Images MATEC Web of Conferences. 2018;232:02001 Novelty Detection‐Based Internal Fingerprint Segmentation in Optical Coherence Tomography Images Computed Tomography - Advanced Applications. 2017; Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites Materials. 2020;13(4):936 Classification of Computed Tomography Images in Different Slice Positions Using Deep Learning Journal of Healthcare Engineering. 2018;2018:1-9 Bone segmentation in computed tomography images using a Hermite-based approach Journal of Physics: Conference Series. 2020;1547:012013 OncoSpineSeg: A Software Tool for a Manual Segmentation of Computed Tomography of the Spine on Cancer Patients Computed Tomography - Advanced Applications. 2017; Validation Of Deep-learning Image Reconstruction For Coronary Computed Tomography Angiography: Impact On Noise, Image Quality And Diagnostic Accuracy Journal of Cardiovascular Computed Tomography. 2020;14(1):S5 Segmentation-based algorithms to quantify nonviable myocardium after delayed contrast-enhanced computed tomography: defining what’s dead Journal of Cardiovascular Computed Tomography. 2008;2(1):33-35 Deep Learning for Automated Brain Tumor Segmentation in MRI Images Soft Computing Based Medical Image Analysis. 2018;183-201 |
