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        <parTitl xml:lang="en">X-ray microCT lizard brain data and labels. Trained network using Biomedisa with different number of training datasets.</parTitl>
        <IDNo agency="SND">doi-10-17045-sthlmuni-26164570-0</IDNo>
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        <AuthEnty xml:lang="en" affiliation="Stockholm University">Zhou, Tunhe</AuthEnty>
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      <abstract xml:lang="en" contentType="abstract">28_pbo24_100kV9WLE2Obj0p4xBin2t1sP801_recon.zip: X-ray tomography data of a lizard head (Podarcis bocagei) using Zeiss Xradia Versa 520 at Stockholm University Brain Imaging Center (SUBIC).

SegmFromDLalgorithm.zip: X-ray microCT (microcomputed tomography) data of lizard heads, cropped down to brain part, and the corresponding labels of brain regions segmented by deep learning algorithm.

SegmForDLmanual.zip: X-ray microCT data of lizard heads, cropped down to brain part, and the corresponding labels of brain regions segmented semi-manually used as training dataset for deep learning.

06_recon.zip: an example of original X-ray microCT data of a lizard head before cropping.

The trained networks below can be used in Biomedisa https://biomedisa.info :

NetworkTrainedWith5data.tar.h5: trained network using 5 datasets

NetworkTrainedWith7data.tar.h5: trained network using 7 datasets

NetworkTrainedWith9data.tar.h5: trained network using 9 datasets

NetworkTrainedWith11data.tar.h5: trained network using 11 datasets</abstract>
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