MaitreChen/MedGAN-ResLite
资源受限环境下、大规模肺炎早筛方法。采用DSHNet生成少类样本数据，解决数据不平衡的问题，然后利用RSFNet进行分类，最后结合剪枝策略实现轻量化！MedGAN-ResLite-V2 is released! ❤
This project helps medical professionals, especially radiologists or clinicians, quickly and accurately identify pneumonia from chest X-ray images, even when facing limited data for rare cases. It takes chest X-ray images as input and provides a classification of whether pneumonia is present or not, along with visualizations to highlight suspicious areas. It's designed for users who need a reliable, lightweight system for early pneumonia screening in resource-constrained environments.
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Use this if you need an efficient and accurate tool to screen for pneumonia from chest X-rays, particularly in settings where acquiring a large, balanced dataset for training advanced AI models is challenging.
Not ideal if you require a system that has been extensively validated on diverse, global patient populations and requires integration with complex hospital EHR systems out-of-the-box.
Stars
29
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
May 29, 2024
Commits (30d)
0
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