The data contains 300 skulls. The data is divided into three groups with 100 scans in three categories Females, Males, and Mix. The purpose of the project was to generate a machine learning algorithm to be able reconstruct missing parts of the skull for cranioplasty. Each scan was verified to ensure normal skull shape. To ensure data privacy the faces have been deblurred with an in-house developed algorithm.
Keywords: Radiology, Skull, CT, Computed tomography, Face blur, Male, Female.
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|Cite as||Einar Heiberg and Finn Lennartsson (2021) CT of normal skulls in three categories (Female, Male, Mixed) doi:10.23698/aida/ctskull|
|Title||CT of normal skulls in three categories (Female, Male, Mixed)|
|Resolution||Typically 0.5 isotropic|
|Copyright||Copyright 2021 Region Skåne, Einar Heiberg|
Available under the following licenses, described in the License section below.
There are no annotations performed on the data set as segmentation of the skull shape is trivial by use of thresholding. All annotation in the project was fully automated.
Each study is zipped into one file. All files are stored in DICOM format.
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AIDA BY license
Copyright 2021 Region Skåne, Einar Heiberg
Permission to use, copy, modify, and/or distribute the data within AIDA (Analytic Imaging Diagnostics Arena https://medtech4health.se/aida) for the purpose of research or education with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies, and that publications resulting from the use of this data cite the following works:
Einar Heiberg and Finn Lennartsson (2021) CT of normal skulls in three categories (Female, Male, Mixed) doi:10.23698/aida/ctskull.
THE DATA IS PROVIDED “AS IS” AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS DATA INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR CHARACTERISTICS OF THIS DATA.