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

<b>28_pbo24_100kV9WLE2Obj0p4xBin2t1sP801_recon.zip: </b>斯德哥尔摩大学脑成像中心（Stockholm University Brain Imaging Center，SUBIC）采用蔡司Xradia Versa 520设备采集的波达塞克氏蜥蜴（*Podarcis bocagei*）头部X射线断层扫描数据。
<b>SegmFromDLalgorithm.zip</b>: 蜥蜴头部的X射线显微CT（microcomputed tomography）数据，已裁剪至脑部区域，附带经深度学习算法分割得到的脑区标注标签。
<b>SegmForDLmanual.zip</b>: 蜥蜴头部的X射线显微CT数据，已裁剪至脑部区域，附带经半手动分割得到的脑区标注标签，用作深度学习模型的训练数据集。
<b>06_recon.zip</b>: 未经过裁剪的蜥蜴头部原始X射线显微CT数据示例。
下述经训练的网络模型可在Biomedisa平台（https://biomedisa.info）中使用：
<b>NetworkTrainedWith5data.tar.h5: </b>基于5组数据集训练得到的网络模型
<b>NetworkTrainedWith7data.tar.h5</b>: 基于7组数据集训练得到的网络模型
<b>NetworkTrainedWith9data.tar.h5</b>: 基于9组数据集训练得到的网络模型
<b>NetworkTrainedWith11data.tar.h5</b>: 基于11组数据集训练得到的网络模型