jadevaibhav/Brain-Tumor-Segmentation-using-Deep-Neural-networks
Keras implementation of paper by the same name
This project helps medical professionals and researchers analyze brain MRI scans to precisely identify and map different types of brain tumors, such as necrosis, edema, and enhancing or non-enhancing tumors. By inputting multimodal MRI images (T1, T1-C, T2, FLAIR), the system outputs a detailed, pixel-by-pixel segmentation of tumor regions. This tool is intended for neuro-oncologists, radiologists, and medical imaging researchers working with brain tumor diagnostics and treatment planning.
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Use this if you need to automatically segment different types of brain tumor regions from multimodal MRI scans for diagnostic or research purposes.
Not ideal if you require the absolute latest in brain tumor segmentation accuracy, as newer deep learning approaches have demonstrated superior performance.
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MIT
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Oct 07, 2019
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