edaaydinea/Low-Grade-Glioma-Segmentation
This is a capstone project on a real dataset related to segmenting low-grade glioma. This capstone project is included in the UpSchool Machine Learning & Deep Learning Program in partnership with Google Developers.
This project helps radiologists and oncologists accurately identify and separate low-grade glioma tumor tissue from healthy brain tissue in MRI scans. By inputting a brain MRI scan, the system outputs a segmented image highlighting the tumor, improving diagnostic precision. It is designed for medical professionals involved in brain tumor diagnosis and treatment planning.
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Use this if you need an automated and precise method to segment low-grade gliomas in brain MRI images, reducing manual annotation time and variability.
Not ideal if you are looking for a tool to segment other types of brain tumors or require a solution for imaging modalities other than MRI.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Jan 30, 2023
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