An Automatic Detection Method for Abnormal Cranial Regions Based on Tissue Symmetry in Ultrasound Combined with an AI-Assisted Recognition Method for Intracranial Hemorrhage
Objective:Neonatal intracranial hemorrhage is a common and severe neurological disorder,primarily caused by factors such as prematurity,extremely low birth weight,and hypoxia.Early diagnosis and treatment are crucial for reducing neurological deficits and improving patient outcomes.Methods:This study designed and implemented an automatic detection method for abnormal cranial regions based on tissue symmetry in ultrasound,combined with an AI-assisted recognition method for intracranial hemorrhage.The accuracy,sensitivity,and specificity of this method were verified to evaluate its application value in improving diagnostic efficiency and patient outcomes.Results:The study results indicate that the automatic detection of abnormal cranial regions in ultrasound and the AI-assisted recognition method for intracranial hemorrhage have high sensitivity for hemorrhage detection,significantly enhancing the diagnostic efficiency of doctors for neonatal intracranial hemorrhage.Conclusion:Cranial ultrasound,being non-invasive and convenient,is suitable for screening cranial diseases in newborns without obvious symptoms.Introducing the technology of automatic detection of abnormal cranial regions in ultrasound and AI-assisted recognition of intracranial hemorrhage into the cranial volume ultrasound scanning system further helps doctors to detect neonatal intracranial hemorrhage early,effectively improving the early diagnosis and treatment rates for neonatal intracranial hemorrhage.
automatic detection of abnormal cranial regions in ultrasoundAI-assisted recognition of intracranial hemorrhagecranial ultrasoundassisted diagnosis
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