StarDist Adipocyte Segmentation Training data, Training Notebook and Model

<p>Data from H&amp;E human bone marrow whole slide scanner images used in the paper: &quot;MarrowQuant 2.0: a digital pathology workflow assisting bone marrow evaluation in clinical and experimental hematology&quot; (https://doi.org/10.21203/rs.3.rs-1860140/v1)</p> <p>&nbsp;</p> <p>292 image patches</p> <p>Ground truth were manually annotated using QuPath and split into 263 images for training and 29 for validation.</p> <p>Training in StarDist was done on a Windows 10 PC with an RTX 2080 GPU. The requirements file for installing a Python 3.7 environment to run the attached notebooks is provided (<strong>stardist-val.txt</strong>).</p> <p>The StarDist model configuration can be found in the Jupyter Notebook :</p> <pre><code>Adipocyte Training.ipynb</code></pre> <p>Model validation and metrics can be performed by running the notebook after finishing the <strong>Adipocyte Training</strong> notebook.</p> <pre><code>Quality Control.ipynb</code></pre> <p>&nbsp;</p>