Professional – adds the ability to link diagram shapes to real-time data, 60+ templates, collaboration tools, and support for BPMN 2.0.At $300 for a single user license, it’s not priced for the casual user. Standard – the basic version with tools to create diagrams and org charts with effects and themes.Visio 2013 is available only as a stand-alone product, and is not included in any of Microsoft’s Office 2013 Suites. You can create polished, well-organized diagrams of most types of informational set, including floor plans, business processes, flowcharts, and networks. Microsoft Visio 2013 lets you organize and lay out complex data with professional designs in just a few clicks. The experiments on the datasets demonstrate that our proposed method outperforms many existing segmentation models in terms of the performance in metrics DSC and HD (80.46\% in DSC on the Synapse dataset and 90.83\% in DSC on the ACDC dataset). Secondly, the Reticular Transformer is utilized to obtain multi-scale information based on the Transformer, which can further utilize the local texture information and underlying semantic information to obtain sufficient details and receptive field. Specifically, firstly, the morphological constraint stream is designed to learn the prior shape structure information based on the CNN model. To alleviate these issues, we propose a novel 3D medical image segmentation network based on Transformer Blocks and the CNN model by fusing morphological information, and design a Reticular Transformer (RT) by the reticular mechanism. Although deep learning algorithms based on CNNs and Transformers have made notable progress in conventional image segmentation, medical image segmentation is still challenging owing to limited ability to learn the prior information about the target shapes, especially for large target areas, which have the problems of rough boundaries in the segmentation results, such as over-segmentation, under-segmentation and internal holes. P>Medical image segmentation is essential in medical image analysis since it can provide reliable assistance in computer-aided clinical diagnosis, treatment plan-ning, and intervention.
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