Pathological lung segmentation based on random forest combined with deep model and multi-scale superpixels

Accurate segmentation of lungs in pathological thoracic computed tomography (CT) scans plays an important role in pulmonary disease diagnosis. However, it is still a challenging task due to the variability of pathological lung appearances and shapes. In this paper, we proposed a novel segmentation algorithm based on random forest (RF), deep convolutional network, and multi-scale superpixels for segmenting pathological lungs from thoracic CT images accurately. A pathological thoracic CT image is first segmented based on multi-scale superpixels, and deep features, texture, and intensity features extracted from superpixels are taken as inputs of a group of RF classifiers. With the fusion of classification results of RFs by a fractional-order gray correlation approach, we capture an initial segmentation of pathological lungs. We finally utilize a divide-and-conquer strategy to deal with segmentation refinement combining contour correction of left lungs and region repairing of right lungs. Our algorithm is tested on a group of thoracic CT images affected with interstitial lung diseases. Experiments show that our algorithm can achieve a high segmentation accuracy with an average DSC of 96.45% and PPV of 95.07%. Compared with several existing lung segmentation methods, our algorithm exhibits a robust performance on pathological lung segmentation. Our algorithm can be employed reliably for lung field segmentation of pathologic thoracic CT images with a high accuracy, which is helpful to assist radiologists to detect the presence of pulmonary diseases and quantify its shape and size in regular clinical practices.

     

选矿浓缩过程矿浆浓度的模糊控制

针对治金行业选矿浓缩过程的工艺特点,介绍了基于变频技术的矿浆浓度模糊控制,较好地控制了浓度指标,同时也稳定了矿浆流量并大幅度节能降耗。该设计已在宝钢、武钢等选矿厂中得到成功应用,效益显著。     

Research on the sticking-sliding contact ratio in high-speed cutting of cupronickel B10

Journal of Mechanical Science and Technology - Accurate understanding of the frictional behavior at the tool-chip interface is critical for the cutting process. To quantitatively analyze the ratio...     

多层住宅顶层改善措施

顶层住宅由于其用水、防水、隔热，上下楼不便等缺陷，不受居民的欢迎，在分配及销售上均存在着许多问题。本文对改善顶层住房的舒适性方面，提出了多种综合性措施，将顶层的不利因素转化为有利因素，具有一定的推广价值。     

非流水型生产调度问题的研究

采用赋时库所Petri-Net对非流水型的生产作业建立一般的调度模型,然后对模型进行代数化的描述,同时证明了非流水型生产调度问题的解空间如此之大以致很难用解析法来求得最优解.因此,运用深度优先规则和最短优先处理规则来搜索局部最优,得到的算法是一种(成本-时间)折中的启发式调度算法,在一定的程度上解决了对生产调度要求不高的调度问题.     

双断点断路器开断过程燃弧能量的不平衡问题

通过对开断电弧运动过程观察,发现在双断点塑壳断路器开断过程中,两个断口之间存在电弧能量的不平衡,不利于断路器综合性能的提高。进一步的分析实验认为,电弧背后击穿是引起电弧能量不平衡的主要原因,通过适当的设计抑制背后击穿,可以使断口间能量有效趋于平衡。     

Strain-softening behavior of an Fe-6.5 wt%Si alloy during warm deformation and its applications

An Fe-6.5 wt%Si alloy with columnar grains was compressed at a temperature below its recrystallization temperature. The Vickers hardness and structure of the alloy before and after deformation were investigated. The results showed that with an increase in the degree of deformation, Vickers hardness of the alloy initially increased rapidly and then decreased slowly, indicating that the alloy had a strain-softening behavior after a large deformation. Meanwhile, the work-hardening exponent of the alloy decreased significantly. Transmission electron microscopy confirmed that the decrease of the order degree was responsible for the strain-softening behavior of the deformed alloy. Applying its softening behavior, the Fe-6.5 wt%Si alloy with columnar grains was rolled at 400 °C and then at room temperature. An Fe-6.5 wt%Si thin strip with thickness of 0.20 mm was fabricated. The surface of the strip was bright and had no obvious edge cracks.     

热轧带钢卷及型钢全自动捆扎机的创新设计

在考察了国内现有热轧带钢卷与型钢生产线的捆扎现状以及研究了国内外多种钢材打捆机的基础上,研制了一种全新的带钢卷、型钢全自动捆扎机。详细介绍了该捆扎机的整体结构;系统阐述了该捆扎机主要组成部分以及性能原理。该捆扎机结构巧妙,易于操作和维护,能适应各种恶劣的工作环境。     

能源工程及自动化专业实验教学改革的探索与实践

专业实验课是高等学校的一门重要的基础课程,是提高学生动手能力,培养多种综合素质的重要环节,传统的实验教学方式存在较多弊端。华南理工大学在学科建设中借鉴了各方面的宝贵经验,按照专业培养目标,制定了合理的专业实验内容,根据专业实验课程的授课经验,提出了改进实验教学方式的新措施,并通过实践取得了良好的效果。