svella9/Semi-Supervised-Learning-To-Improve-Lung-Cancer-Detection
Boost lung Cancer Detection using Generative model and Semi-Supervised Learning
This project helps radiologists and medical researchers improve the accuracy of lung cancer detection from medical images. By using advanced image analysis techniques, it takes CT scans as input and outputs a highly accurate assessment of lung nodules, helping identify potential cancerous growths more effectively. It is designed for practitioners who analyze medical scans for diagnostic purposes.
No commits in the last 6 months.
Use this if you need a more accurate way to detect lung nodules in CT scans, especially when you have limited labeled data for training.
Not ideal if you are looking for a general-purpose image classification tool unrelated to medical diagnostics.
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JavaScript
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Last pushed
Jul 21, 2018
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