juliandewit/kaggle_ndsb2017
Kaggle datascience bowl 2017
This solution helps radiologists and medical researchers automatically identify and classify lung nodules and masses in CT scans. It takes raw DICOM images and LUNA16/LIDC datasets as input, processes them to detect suspicious areas, and outputs predictions about the likelihood of malignancy. This tool is designed for specialists involved in medical image analysis and lung cancer screening.
626 stars. No commits in the last 6 months.
Use this if you need a robust, pre-built system for detecting lung nodules and masses in CT images, leveraging a combination of deep learning and ensemble methods.
Not ideal if you require a system that is 100% reproducible for exact historical results or if you cannot download large medical imaging datasets.
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626
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291
Language
Python
License
MIT
Category
Last pushed
Mar 17, 2024
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