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A computer-aided system for Ocular Myasthenia Gravis Diagnosis

Tsinghua Science and Technology 2021年第5期26卷 749-758页

作者： Guanjie Liu Yan Wei Yunshen Xie Jianqiang Li Liyan Qiao Ji-jiang Yang the Faculty of Information Technology Beijing University of TechnologyBeijing 100124China the Neurology Department The Second Affiliated Hospital of Tsinghua UniversityBeijing 100040China the Department of Automation Tsinghua UniversityBeijing 100084China

The current mode of clinical aided diagnosis of Ocular Myasthenia Gravis(OMG)is time-consuming and laborious,and it lacks quantitative *** aided diagnostic system for OMG is proposed to solve this *** values calculated by the system include three clinical indicators:eyelid distance,sclera distance,and palpebra superior fatigability test *** the first two indicators,the semantic segmentation method was used to extract the pathological features of the patient's eye image and a semantic segmentation model was *** patient eye image was divided into three regions:iris,sclera,and *** indicators were calculated based on the position of the pixels in the segmentation *** the last indicator,a calculation method based on the Eyelid Aspect Ratio(EAR)is proposed;this method can better reflect the change of eyelid distance over *** system was evaluated based on the collected patient *** results show that the segmentation model achieves a mean Intersection-Over-Union(mIoU)value of 86.05%.The paired-sample T-test was used to compare the results obtained by the system and doctors,and the p values were all greater than ***,the system can reduce the cost of clinical diagnosis and has high application value.

关键词： ocular myasthenia gravis computer-aided system semantic segmentation eyelid aspect ratio

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Applying CBR to Machine Tool Product Configuration Design Oriented to Customer Requirements

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Chinese Journal of Mechanical Engineering 2017年第1期30卷 60-76页

作者： WANG Pengjia GONG Yadong XIE Hualong LIU Yongxian NEE Andrew Yehching School of Mechanical Engineering and Automation Northeastern University Department of Mechanical Engineering National University of Singapore

Product customization is a trend in the current market-oriented manufacturing environment. However, deduction from customer requirements to design results and evaluation of design alternatives are still heavily reliant on the designer＇s experience and knowledge. To solve the problem of fuzziness and uncertainty of customer requirements in product configuration, an analysis method based on the grey rough model is presented. The customer requirements can be converted into technical characteristics effectively. In addition, an optimization decision model for product planning is established to help the enterprises select the key technical characteristics under the constraints of cost and time to serve the customer to maximal satisfaction. A new case retrieval approach that combines the self-organizing map and fuzzy similarity priority ratio method is proposed in case-based design. The self-organizing map can reduce the retrieval range and increase the retrieval efficiency, and the fuzzy similarity priority ratio method can evaluate the similarity of cases comprehensively. To ensure that the final case has the based on grey correlation analysis is proposed to evaluate similar cases best overall performance, an evaluation method of similar cases to select the most suitable case. Furthermore, a computer-aided system is developed using MATLAB GUI to assist the product configuration design. The actual example and result on an ETC series machine tool product show that the proposed method is effective, rapid and accurate in the process of product configuration. The proposed methodology provides a detailed instruction for the product configuration design oriented to customer requirements.

关键词： customer requirements case-based reasoning machine tool case retrieval case evaluation computer-aided system

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