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            <name>Title</name>
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    <name>Book Chapter</name>
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              <text>Review on Segmentation of Facial Bone Surface from Craniofacial CT Images</text>
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              <text>Computed tomography; Craniofacial image analysis; Deep learning; Machine learning; Mandible segmentation; Orthognathic surgery; Segmentation</text>
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              <text>Three-dimensional (3D) representation of facial bone surface is needed in the virtual surgical planning for orthognathic surgery. Segmentation of facial bone surface from computed tomography images is first step in developing the 3D model. With the advent in the computer vision techniques, various automatic and semi-segmentation algorithms were developed in the recent years for segmentation of facial bone surface from craniofacial computed tomography images. In the proposed paper, the various segmentation techniques for extracting bone surface from 3D CT images for corrective jaw surgery available in the literature have been discussed. By reviewing all the methods available in the literature, it is found that each method has its own merits and demerits.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <text>Varghese J.; Saleema J.S.</text>
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              <text>Lecture Notes on Data Engineering and Communications Technologies, Vol-117, pp. 717-738.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-19-0898-9_55" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-0898-9_55&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISSN: 23674512</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Varghese J., Department of Computer Science, Christ Deemed To Be University, Karnataka, Bangalore, India, Christ Academy Institute for Advanced Studies, Karnataka, Bangalore, India; Saleema J.S., Department of Computer Science, Christ Deemed To Be University, Karnataka, Bangalore, India</text>
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