X-ray microCT lizard brain data and labels. Trained network using Biomedisa with different number of training datasets.

<b>28_pbo24_100kV9WLE2Obj0p4xBin2t1sP801_recon.zip: </b>X-ray tomography data of a lizard head (<i>Podarcis bocagei</i>) using Zeiss Xradia Versa 520 at Stockholm University Brain Imaging Center (SUBIC).<b>SegmFromDLalgorithm.zip</b>: X-ray microCT (<i>microcomputed tomography</i>) data of lizard heads, cropped down to brain part, and the corresponding labels of brain regions segmented by deep learning algorithm.<b>SegmForDLmanual.zip</b>: 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.<b>06_recon.zip</b>: 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 :<b>NetworkTrainedWith5data.tar.h5: </b>trained network using 5 datasets<b>NetworkTrainedWith7data.tar.h5</b><b>: </b>trained network using 7 datasets<b>NetworkTrainedWith9data.tar.h5</b><b>: </b>trained network using 9 datasets<b>NetworkTrainedWith11data.tar.h5</b><b>: </b>trained network using 11 datasets