shivamBasak/Brain-Stroke-Detection
This project involves developing a system to detect brain strokes from medical images, such as CT or MRI scans. The system uses image processing and machine learning techniques to identify and classify stroke regions within the brain, aiming to provide early diagnosis and assist medical professionals in treatment planning.
This tool helps radiologists and doctors quickly identify brain strokes from medical images like CT or MRI scans. You input a patient's brain scan, and it highlights and classifies any potential stroke regions, helping with early diagnosis. Medical professionals would use this to enhance their workflow and improve patient outcomes.
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Use this if you are a medical professional needing assistance to efficiently and accurately detect brain stroke regions in patient CT or MRI images.
Not ideal if you need a diagnostic tool that incorporates patient history or real-time clinical system integration, as this focuses solely on image analysis.
Stars
29
Forks
7
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 01, 2024
Commits (30d)
0
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