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Improving interobserver agreement and performance of deep learning models for segmenting acute ischemic stroke by combining DWI with optimized ADC thresholds

Chun‐Jung Juan, Shao-Chieh Lin, Yahui Li, Chia‐Ching Chang, Yi-Hung Jeng, Hsu‐Hsia Peng, Teng‐Yi Huang, Hsiao‐Wen Chung, Wu‐Chung Shen, Chon‐Haw Tsai, Ruey‐Feng Chang, Yi‐Jui Liu

2022European Radiology13 citationsDOI

Topics & Concepts

MedicineEffective diffusion coefficientNeuroradiologyIntraclass correlationNuclear medicineSegmentationRepeatabilityLimits of agreementDiffusion MRIMann–Whitney U testMagnetic resonance imagingRadiologyNeurologyArtificial intelligenceStatisticsMathematicsInternal medicineComputer scienceClinical psychologyPsychiatryPsychometricsAcute Ischemic Stroke ManagementS100 Proteins and AnnexinsIntracerebral and Subarachnoid Hemorrhage Research
Improving interobserver agreement and performance of deep learning models for segmenting acute ischemic stroke by combining DWI with optimized ADC thresholds | Litcius