U-Net Brain Tumor Segmentation
- tensorflow
- tensorlayer
- unet
- medical-imaging
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Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
- artificial-intelligence
- clip
- pathology
- vision-and-language
Neural networks toolbox focused on medical image analysis
- python
- keras
- convolutional-neural-networks
- brain
Automated 3D cell detection in very large images
- microscopy
- cell-detection
- deep-learning
- image-analysis
A Python interface to access neuroanatomical atlases
- neuroscience
- python
- microscopy
- registration
Automated 3D brain registration with support for multiple species and atlases.
- registration
- atlases
- brain
- neuroscience
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance
- qa
- mri
- neuroimaging
- niqc