2022
DOI: 10.1016/j.jksuci.2020.12.004
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Reconstructing and resizing 3D images from DICOM files

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Cited by 17 publications
(12 citation statements)
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“…There already exist many CNN processing DICOM data and are available for use [12,13,15]. Researchers this year have already achieved significant milestones in multiclass CBCT image segmentation for orthodontics with Deep Learning.…”
Section: Discussionmentioning
confidence: 99%
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“…There already exist many CNN processing DICOM data and are available for use [12,13,15]. Researchers this year have already achieved significant milestones in multiclass CBCT image segmentation for orthodontics with Deep Learning.…”
Section: Discussionmentioning
confidence: 99%
“…They omitted subjects with fractures. Each CT output was in digital imaging and communication in medicine (DICOM) format [12,13]. The extracted femur and mandible data were preprocessed to create a 3D voxel inserted into a neural network model.…”
Section: Overview Of Used Artificial Intelligence For Forensic Age and Sex Determinationmentioning
confidence: 99%
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“…The methodology chapter presents the novel clinical workflow based on implementing three-dimensional convolutional neural network (3D CNN) algorithms [7][8][9]. The input is full head cone-beam computer tomography scans (CBCT) in the Digital Imaging and Communications in Medicine format (DICOM) [9][10][11][12][13][14]. The methodology chapter describes technical data preparation for 3D CNN utilization in the following practical aspects from forensic medicine:…”
Section: Introductionmentioning
confidence: 99%
“…The DICOM files generated by computed tomography can be converted to 3D reconstruction images in STL files using various software such as ITKsnap, 3D slicer, ImageJ, TurtleSeg, InVesalius 3 etc. The current reconstruction of 3D images from DICOM (Digital Imaging and Communications in Medicine) files requires strict supervision for the reconstructed images to have the same metadata, including slice thickness, spacing between slices, and image resolution [ 3 ].…”
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confidence: 99%