Deep learning-based automated TICI (Thrombolysis In Cerebral Infarction) scoring for DSA-based assessment of mechanical thrombolysis response.
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Updated
Jun 9, 2022 - Python
Deep learning-based automated TICI (Thrombolysis In Cerebral Infarction) scoring for DSA-based assessment of mechanical thrombolysis response.
This is a repository hosting all models detailed in the article Brain tumour segmentation with incomplete imaging data.
Why should radiologists rely on eyesight alone, when computer vision and amazing open-source processing frameworks are already available. This respository hosts the full bash-based pipeline, whilst there is a minimal python+webui implementation also available open-source
C++ inference pipeline for 3D brain lesion segmentation from multi-modal MRI using ONNX Runtime
Non-invasive MGMT prediction in Glioblastomas using peritumoral edema radiomics (BraTS 2021 dataset).
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