A curated reference on scientific & biomedical data centered on A 3D multi-modal medical image segmentation library in PyTorch. Use it to ground design choices in named patterns, trade-offs and examples.

This is a curated list of medical data for machine learning. This list is provided for informational purposes only, please make sure you respect any and all usage restrictions for any of the data listed here. Use it to ground design choices in named patterns, trade-offs and examples.

Segment Anything Model (SAM) uses vision transformer-based image encoder to extract image features and compute an image embedding, and prompt encoder to embed prompts and incorporate user interactions. Then extranted information from two encoders are combined to alightweight mask. Use it to navigate the topic and choose relevant methods, papers or tools.