[IEEE TMI Best Paper Award] Official Implementation for UNet++
- medical-imaging
- segmentation
- unet
- biomedical-imaging
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Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
[Deprecated] Use Cornerstone3D Instead https://cornerstonejs.org/
- javascript
- cornerstone
- dicom
- medical-imaging
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
Automated 3D cell detection in very large images
- microscopy
- cell-detection
- deep-learning
- image-analysis
Histology Topography Cytometry Analysis Toolbox