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Deep Learning-based Multiclass Segmentation in Aneurysmal Subarachnoid Hemorrhage

2024-06-25

Abstract excerpt

<h4>Introduction</h4> Aneurysmal subarachnoid hemorrhage (aSAH) is a life-threatening condition with a significant variability in patients’ outcomes. Radiographic scores used to assess the extent of SAH or other potentially outcome-relevant pathologies are limited by interrater variability and do not utilize all available information from the imaging. Image segmentation plays an important role in extracting releva...

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Literature Corpus work
abb198ac-1252-5e79-b179-45da6cafbd93
DOI
10.1101/2024.06.24.24309431
Open publication

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Deep Learning-based Multiclass Segmentation in Aneurysmal Subarachnoid HemorrhageDOI 10.1101/2024.06.24.24309431
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