Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity
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Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity
U-Net Brain Tumor Segmentation
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Azure friendly DICOMweb part 18 .NET server with qido-rs, wado-rs, stow-rs, wado-uri RESTful implementation
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk