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

<p dir="ltr"><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).</p><p dir="ltr"><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.</p><p dir="ltr"><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.</p><p dir="ltr"><b>06_recon.zip</b>: an example of original X-ray microCT data of a lizard head before cropping.</p><p dir="ltr">The trained networks below can be used in Biomedisa <a href="https://biomedisa.info/" target="_blank">https://biomedisa.info</a> :</p><p dir="ltr"><b>NetworkTrainedWith5data.tar.h5: </b>trained network using 5 datasets</p><p dir="ltr"><b>NetworkTrainedWith7data.tar.h5</b><b>: </b>trained network using 7 datasets</p><p dir="ltr"><b>NetworkTrainedWith9data.tar.h5</b><b>: </b>trained network using 9 datasets</p><p dir="ltr"><b>NetworkTrainedWith11data.tar.h5</b><b>: </b>trained network using 11 datasets</p>