Recognition of producing areas of Angelicae Sinensis Radix based on structure-texture image decomposition / 中国中药杂志

The pharmacological effects of Angelicae Sinensis Radix from different producing areas are uneven. Accurate identification of its producing areas by computer vision and machine learning(CVML) is conducive to evaluating the quality of Angelicae Sinensis Radix. This paper collected the high-definition images of Angelicae Sinensis Radix from different producing areas using a digital camera to construct an image database, followed by the extraction of texture features based on the grayscale relationship of adjacent pixels in the image. Then a support vector machine(SVM)-based prediction model for predicting the producing areas of Angelicae Sinensis Radix was built. The experimental results showed that the prediction accuracy reached up to 98.49% under the conditions of the model training set occupying 80%, the test set occupying 20%, and the sampling radius(r) of adjacent pixels being 2. When the training set was set to 10%, the prediction accuracy was still over 93%. Among the three producing areas of Angelicae Sinensis Radix, Huzhu county, Qinghai province exhibited the highest error rate, while Heqing county, Yunnan province the lowest error rate. Angelicae Sinensis Radix from Minxian county, Gansu province and Huzhu county, Qinghai province were both wrongly attributed to Heqing county, Yunnan province, while most of those from Huzhu county, Qinghai province were misjudged as the samples produced in Minxian county, Gansu province. The method designed in this paper enabled the rapid and non-destructive prediction of the producing areas of Angelicae Sinensis Radix, boasting high accuracy and strong stability. There were definite morphological differences between Angelicae Sinensis Radix samples from Minxian county, Gansu province and those from Huzhu county, Qinghai province. The wrongly predicted samples from Minxian county, Gansu province and Huzhu city, Qinghai province shared similar morphological characteristics with those from Heqing county, Yunnan province. Most wrongly predicted samples from Heqing county, Yunnan province were similar to the ones from Minxian county, Gansu province in morphological characteristics.

Comparison between Truview~(TM)EVO_2 optic laryngoscope and Macintosh laryngoscope in patients receiving cervical vertebral surgery / 第二军医大学学报

Objective:To evaluate the clinical value of Truview~(TM)EVO_2 optic laryngoscope by comparing it with the Macintosh laryngoscope in patients receiving cervical vertebral surgery.Methods:One hundred patients scheduled for elective cervical vertebral surgery were enrolled in this randomized crossover study.After induction,the patients'glottis in group A (n=50)was displayed by Macintosh laryngoscope and the Cormack-Lehane(C/L)grade was recorded,and then optic laryngoscope was employed to display the laryngeal structure.The order of laryngoscopy attempts was reversed in group B(n= 50).Parameters recorded included demographics,airway assessment feat ures(BMI,thyromental distance,mandibular size,mouth opening,mallampati oropharyngeal scale,and neck movement),C/L grade,laryngoscopic force applied,duration of intubation, difficulties of laryngeal view and injury of upper airway.Results:There were no significant difference in demographics,airway assessment features,C/L grade and duration of intubation between the 2 groups,whereas the laryngoscopic force in group A was significantly lower than that in group B(P