Conclusions UBM is advantaged than other image method in the diagnosis and localization of micro-foreign bodies in the anterior segment.
结论相对于其他影像学检查，UBM在眼前段异物诊断和定位中具有明显的优越性。
Objective To study the clinical value of ultrasonic diagnosis for low segment ureteral polyp.
目的探讨超声诊断输尿管下段息肉的临床应用价值。
Ultrosonography ha corrective diagnosis for posterior segment trauma and provide the part of proof for anterior chamber depth and lens injury.
超声对眼后段伤诊断准确，对前房深浅、晶体损伤可提供部分声像佐证。
Objective: To explore limb salvage treatment for popliteal artery inferior segment trauma with delayed diagnosis.
目的：探讨延迟诊断的动脉下段损伤的保肢治疗。
Conclusion: It's an important step to resect the necrotic muscles in the limb salvage surgery for the popliteal artery inferior segment trauma with delayed diagnosis.
结论：小腿坏死肌肉彻底切除是动脉下段损伤延迟诊断后采取保肢治疗的重要措施；
To investigate diagnosis of lumbar instability, segment of spinal canal decompression and principle of fixation and fusion.
探讨退变性腰椎不稳的诊断、椎管手术减压范围及固定融合原则。
Objective:To improve the level of diagnosis and treatment of optic nerve trauma at the canalicular segment.
目的：探讨提高视神经管内段损伤疗效的方法。
MCG can detect displacement of ST-segment caused by electric current due to ischemic myocardial injury and is helpful in early diagnosis of coronary heart disease.
MCG可以检测心肌缺血损伤电流造成的ST段基线位移，有利于早期诊断冠心病。
Objective To investigate the rapid determination of brain natriuretic peptide (BNP) in the early diagnosis of non-ST-segment elevation acute myocardial infarction (NSTEMI) value.
目的探讨快速测定脑钠肽(BNP)在早期诊断非st段抬高急性心肌梗死(NSTEMI)中的价值。
Objective: to provide the anatomical basis for the diagnosis and treatment of thoracic segment and thoracic cage's disease and for anthropology.
目的：为临床诊治脊柱胸段及胸廓疾患提供解剖学依据并填补国人人类学数据。
Measurement of ECG′s ST Segment plays an important role in routine ECG diagnosis.
心电图ST段是临床心电图测量中一项重要指标。
Concerning the low accuracy and easily being interfered by noise of ECG diagnosis of ST-segment, a ST-segment detection algorithm based on least-square polynomial fitting was proposed.
针对目前心电图s T段诊断准确度不高，容易受到噪声干扰的情况，提出了一种基于最小二乘多项式拟合的ST段形态识别算法。
Concerning the low accuracy and easily being interfered by noise of ECG diagnosis of ST-segment, a ST-segment detection algorithm based on least-square polynomial fitting was proposed.
针对目前心电图s T段诊断准确度不高，容易受到噪声干扰的情况，提出了一种基于最小二乘多项式拟合的ST段形态识别算法。
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