Code and data for the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms"

<p dir="ltr">Code and data for analysis detailed in the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms." Includes Jupyter Notebook files used for machine learning and convolutional neural network analysis and all images.</p><b><i>Note</i></b><i>: The following samples were obtained from the Biorepository and Pathology CoRE at Mount Sinai and used in the analysis, but they are not included in this repository. </i><br><br><i>36795N, 37892N, 37892T, 37893T, 37894N, 37894T, 37895T, 37896N, 37896T, 37897T, 37898N, 37898T, 37899N, 37899T, 37900T, 37901N, 37901T<br><br><br><hr><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i></i><p dir="ltr"><br></p>