Large Spots DeepMIB project, synthetic dataset for testing 2.5D semantic segmentation

<p>A complete DeepMIB project with a synthetic dataset generated for quick tests of 2.5D semantic segmentation approaches.<br>The dataset includes trained</p><ul><li>2.5D DeepLabV3-Resnet18 depth2color (Spots_25D_DLv3RN18_Z2C_xy200z5)</li><li>2.5D U-net depth2color (Spots_25D_Unet_Z2C_xy200z5)</li></ul><p>networkd for detection of large white 3D spots on a black background. The spots that are present on a single slice only are considered as background.</p><p>The network can be opened by loading the config files "*.mibCfg" by</p><ul><li><i>MIB-&gt;Menu-&gt;Tools-&gt;Deep learning segmentation-&gt;Options tab-&gt;Config files-&gt;Load&nbsp;</i></li><li>Drag and drop of the config file into DeepMIB window</li></ul><p>Microscopy Image Browser: <a href="https://mib.helsinki.fi/">https://mib.helsinki.fi</a></p>