Accurately extracting organs from medical images provides radiologist with more comprehensive evidences to clinical diagnose, which offers up a higher accuracy and efficiency. However, the key achieving accurate segmentation lies in abundant clues for contour distinction, has high demand network architecture design its practical training status. To this end, we auxiliary refined constraints optimize energy function by supplying additional guidance procedure, thus promoting model's ability...

Owing to the irregular shape and high anatomical variability of pancreas in abdominal CT images, segmentation is regarded as a challenging task. To address this issue, we propose an automatic model using double adversarial networks with pyramidal pooling module. First, introduce that double-check whether obtained results are similar their ground truths owing special competing mechanism learning, which contributes capturing spatial information for prompts samples be more realistic, improve...

A novel multi-level pyramidal pooling residual U-Net with adversarial mechanism was proposed for organ segmentation from medical imaging, and conducted on the challenging NIH Pancreas-CT dataset.The 82 pancreatic contrast-enhanced abdominal CT volumes were split via four-fold cross validation to test model performance. In order achieve accurate segmentation, we firstly involved learning into an a better gradient information flow improving Then, introduced module (MLPP), where gather...

Pancreas segmentation is vital for the effective diagnosis and treatment of diabetic or pancreatic diseases. However, irregular shape strong variability pancreas in medical images pose significant challenges to accurate segmentation. In this paper, we propose a novel algorithm that imposes two-tier constraints on conventional network through adversarial learning, namely UDCGAN. Specifically, incorporate dual training scheme network, which further facilitates probability maps from segmentor...

Segmenting the organs from computed tomography (CT) images is crucial to early diagnosis and treatment. Pancreas segmentation especially challenging because pancreas has a small volume large variation in shape.To mitigate this issue, an attention-guided duplex adversarial U-Net (ADAU-Net) for proposed work. First, two networks are integrated into baseline ensure obtained prediction maps resemble ground truths. Then, attention blocks applied preserve much contextual information segmentation....

Abstract The rectangular spline shaft, a typical type of shaft-tooth component, plays significant role in mechanical transmissions. Existing methods for detecting size and positional tolerance shafts often rely on contact-based measurement techniques, including specialized gauges coordinate measuring machines (CMMs). To enhance the efficiency, this paper proposes method based line-structured light. Firstly, classification algorithm data points major minor cylindrical surfaces keyway surface...

A method for measuring block thicknesses is proposed by the machine vision measurement. Equations of base plane and light are formed calibration. Then, equation strip image, that is, image intersection between one, established projection relation. Equation on measured can be determined fitting. Since parallel to one plane, thickness using two equations. The experiment evaluates measurement accuracy analyzes influence some factors results.

The detection accuracy of the light stripe centers is an important factor based on structured vision measurement, and quality images a prerequisite for accurately detecting centers; this paper separately proposes image enhancement methods linear arc images. For stripes, with better captured gray-scale distribution normal section corresponding to used as template poor quality. are finally optimized by interpolation. arc-shaped positioning method arc, then cross-section center which good...

Accurate organ segmentation is a relatively challenging subject in medical imaging, especially for the pancreas, whose morphological characteristics are subtle but variable. In this paper, novel dual adversarial convolutional network with multilevel cues (DACN-MC) proposed to segment pancreas computerized tomography (CT). DACN-MC first involves duplex using conventional model biomedical image segmentation, which ensures veracity of predicted probability volumes and ultimately enhances...

The rectangular spline shaft, a typical type of shaft-tooth component, plays significant role in mechanical transmissions. Existing methods for detecting size and shape errors shafts often rely on contact-based measurement techniques, including specialized gauges coordinate measuring machines (CMMs). To enhance the efficiency, this paper proposes method based line-structured light. Firstly, classification algorithm data points large small cylindrical surfaces keyway surface shaft is...

The rectangular spline shaft, a typical type of shaft-tooth component, plays significant role in mechanical transmissions. Existing methods for detecting size and shape errors shafts often rely on contact-based measurement techniques, including specialized gauges coordinate measuring machines (CMMs). To enhance the efficiency, this paper proposes method based line-structured light. Firstly, classification algorithm data points large small cylindrical surfaces keyway surface shaft is...

with the rapid development of market economy in our country, status small and medium-sized enterprises country national is more high.But now, there are many restrictive factors hindering enterprises, including financing which still one prominent problems restricting at present stage.In this case, Supply chain comes into line sight people as a new model, it embarks from supply structure trading characteristics, help whole core enterprise credit strength value flow goods, providing...

With the development of economy, logistics industry has been rapid in our country, enterprise's service and management level also had very big enhancement, enterprises gradually realized that modern become "the third profit source", is enterprise to reduce costs gain a competitive advantage.More more manufacturing enterprises, sales focus resources, save administrative costs, enhance core competitiveness, business outsourcing, outsourcing effective means, enhancement ability inevitable trend...

Pancreas segmentation plays an important role in the diagnosis of pancreatic diseases and related complications. However, accurately segmenting pancreas from computed tomography (CT) images tends to be challenging due limited proportion irregular shape abdominal CT volume. To solve this issue, we propose adversarial network embedded with attention mechanism for paper. The involvement generative contributes retaining much spatial information through capturing high dimensional data...

The existing measurement methods of coaxiality rectangular spline shaft include rotation axis method, coordinate method and V-frame method. These belong to the contact measurement, which are low efficiency can not realize real-time on-line shaft. In this paper, a visual based on image processing is proposed, it an active non-contact achieved, its feasibility verified by experiments, therefore robustness improved.