X-ray microCT lizard brain data and labels. Trained network using Biomedisa with different number of training datasets.
https://doi.org/10.17045/STHLMUNI.26164570
28_pbo24_100kV9WLE2Obj0p4xBin2t1sP801_recon.zipOpens in a new tab: X-ray tomography data of a lizard head (Podarcis bocagei) using Zeiss Xradia Versa 520 at Stockholm University Brain Imaging Center (SUBIC).
SegmFromDLalgorithm.zipOpens in a new tab: 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.zipOpens in a new tab: 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.zipOpens in a new tab: 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.infoOpens in a new tab :
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
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Opens in a new tabhttps://doi.org/10.17045/STHLMUNI.26164570
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