A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
- healthcare
- data-mining
- deep-learning
- preprocessing
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U-Net Brain Tumor Segmentation
- tensorflow
- tensorlayer
- unet
- medical-imaging
Tools for computational pathology
- machine-learning
- digital-pathology
- computational-pathology
- biomedical-image-processing
Neural networks toolbox focused on medical image analysis
- python
- keras
- convolutional-neural-networks
- brain
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".
- imaging
- ai
- cloud-computing
- medical-imaging
Automated 3D cell detection in very large images
- microscopy
- cell-detection
- deep-learning
- image-analysis
Deep and Machine Learning for Microscopy
- microscopy
- materials
- machine-learning
- materials-science
AI-based pathology predicts origins for cancers of unknown primary - Nature
- histology
- pathology
- wsi-images
- histopathology