Image processing pipeline describing data collection, pre-processing, segmentation, quality control and information extraction.

<p>(yellow font = software library; DICOM = Digital Imaging and Communications in Medicine; nii = nifti file type; FSL = FMRIB Software Library; ITK-Snap = Insight Segmentation and Registration Toolkit; RF = random forest; HU = Hounsfield Units. ‘CT-scan’ designed using resources from Flatiron...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	James S. Street (16007194) (author)
مؤلفون آخرون:	Anand S. Pandit (12440046) (author), Ahmed K. Toma (12440058) (author)
منشور في:	2023
الموضوعات:	Biochemistry Medicine Cell Biology Physiology Pharmacology Cancer Space Science Biological Sciences not elsewhere classified tertiary neurosciences center retrospective cohort study poor neurological outcomes modified fisher scale mean dice coefficient initial ct head higher lindegaard ratio fit models aimed electronic healthcare records significant complication associated ct head images automated methods provide total blood volume also significantly associated xlink "> semi 86 vs 0 3 </ sup 021 – 1 later radiological vasospasm greater blood volume snap </ p significantly associated radiological vasospasm automated pipeline greater number greater accuracy blood load time course subsequent vasospasm segmented using plausible pipeline longer duration first presentation february 2020 extendable predictor discrete episodes derived volumes december 2021 cth images clinical data approximately 7 additional cm 92 ). 70 ), 005 ).
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Image processing pipeline describing data collection, pre-processing, segmentation, quality control and information extraction.

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