Establishment of a Daqu Grade Classification Model Based on Computer Vision and Machine Learning.

The grade of Daqu significantly influences the quality of Baijiu. To address the issues of high subjectivity, substantial labor costs, and low detection efficiency in Daqu grade evaluation, this study focused on light-flavor Daqu and proposed a two-layer classification structure model based on computer vision and machine learning. Target images were extracted using three image segmentation methods: threshold segmentation, morphological fusion, and K-means clustering.

Insights from using biplanar intersection for freehand frontal ventriculostomy: a retrospective case-control study with virtual simulation.

Background: Frontal ventriculostomy (FV) is essential in neurosurgery; however, traditional freehand puncture methods have low accuracy, and ultrasound guidance is time consuming and expensive. To improve freehand puncture accuracy, this study introduced a biplanar intersection (BI) method, and analyzed the frontal-horn puncture mechanism. No related reports exist to date.