Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity
- dicom
- netcore
- medical
- medical-imaging
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Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity
3D medical imaging reconstruction software
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
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.
Neural networks toolbox focused on medical image analysis
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
Azure friendly DICOMweb part 18 .NET server with qido-rs, wado-rs, stow-rs, wado-uri RESTful implementation
Medical LLM agent and MRI segmentation workspace built on PharmaLLM, with LangGraph, vLLM, and BEU-Net.
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
⚡ Open-source software for deep learning-based digital pathology
Axon/Myelin segmentation using Deep Learning
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.