4m4n5/NASDM
Pytorch implementation of NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models
This tool helps histopathologists and medical researchers generate realistic synthetic histopathology images. You provide existing histopathology images, and it produces new, diverse images that mimic real tissue samples, complete with accurate nuclei structures. This is useful for anyone needing to expand their dataset of tissue images for analysis or training.
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Use this if you need to create synthetic histopathology images that accurately represent cell nuclei for research or training purposes.
Not ideal if you are looking for general image generation or need to analyze non-medical image data.
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Last pushed
May 09, 2024
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