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Correction to: A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)

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Journal of Ambient Intelligence and Humanized Computing 2020年第10期14卷 14367-14367页

作者： Ahmed, Fahad Shabbir Ali, Liaqat Raza Ul Mustafa Khattak, Hasan Ali Hameed, Tahir Wajahat, Iram Kadry, Seifedine Bukhari, Syed Ahmad Chan Department of Pathology Yale School of Medicine Yale University New Haven USA School of Information and Communication Engineering University of Electronic Science and Technology of China (UESTC) Chengdu China Department of Electrical Engineering University of Science and Technology Bannu Pakistan Department of Computer Engineering and Industrial Automation (DCA) School of Electrical and Computer Engineering (FEEC) Unicamp Brazil Department of Computer Science COMSATS University Islamabad Islamabad Pakistan Girard School of Business Merrimack College North Andover USA Allied Institute of Medical Sciences Ahmad College of Pharmacy Gujrat Pakistan Department of Mathematics and Computer Science Faculty of Science Beirut Arab University Beirut Lebanon Division of Computer Science Mathematics and Science Collins College of Professional Studies St. John’s University New York USA

In the original publication of the article, the author names Fahad Shabbir Ahmad and Raza-Ul-Mustafa was incorrectly published.

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Robust medical instrument segmentation challenge 2019

arXiv

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arXiv 2020年

作者： Roβ, Tobias Reinke, Annika Full, Peter M. Wagner, Martin Kenngott, Hannes Apitz, Martin Hempe, Hellena Filimon, Diana Mindroc Scholz, Patrick Tran, Thuy Nuong Bruno, Pierangela Arbelaéz, Pablo Bian, Gui-Bin Bodenstedt, Sebastian Bolmgren, Jon Lindström Bravo-Sánchez, Laura Chen, Hua-Bin González, Cristina Guo, Dong Halvorsen, Pål Heng, Pheng-Ann Hosgor, Enes Hou, Zeng-Guang Isensee, Fabian Jha, Debesh Jiang, Tingting Kirtac, Kadir Jin, Yueming Kletz, Sabrina Leger, Stefan Li, Zhixuan Maier-Hein, Klaus H. Ni, Zhen-Liang Riegler, Michael A. Schoeffmann, Klaus Shi, Ruohua Speidel, Stefanie Stenze, Michael Twick, Isabell Wang, Gutai Wang, Jiacheng Wang, Liansheng Wang, Lu Zhang, Yujie Zhou, Yan-Jie Zhu, Lei Wiesenfarth, Manuel Kopp-Schneider, Annette Müller-Stich, Beat P. Maier-Hein, Lena Heidelberg Germany University of Heidelberg Germany Heidelberg Germany Department of General Heidelberg University Hospital Visceral and Transplant Surgery Heidelberg Germany caresyntax Berlin Germany University of Chinese Academy Sciences Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China SimulaMet Oslo Norway Tromsø Norway Oslo Norway School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China Partner Site Dresden Heidelberg Germany Faculty of Medicine and University Hospital Carl Gustav Carus Technische Universität Dresden Dresden Germany Dresden Germany Universidad de Los Andes Bogotá Colombia Peking University Peking China Department of Computer Science School of Informatics Xiamen University Xiamen China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong German Cancer Research Center Division of Biostatistics Heidelberg Germany Institute of Information Technology Klagenfurt University Austria

Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and roboticassisted interventions. While numerous methods for detecting, segmenting and tracking of medical instruments based on endoscopic video images have been proposed in the literature, key limitations remain to be addressed: Firstly, robustness, that is, the reliable performance of state-of-the-art methods when run on challenging images (e.g. in the presence of blood, smoke or motion artifacts). Secondly, generalization;algorithms trained for a specific intervention in a specific hospital should generalize to other interventions or institutions. In an effort to promote solutions for these limitations, we organized the Robust Medical Instrument Segmentation (ROBUST-MIS) challenge as an international benchmarking competition with a specific focus on the robustness and generalization capabilities of algorithms. For the first time in the field of endoscopic image processing, our challenge included a task on binary segmentation and also addressed multi-instance detection and segmentation. The challenge was based on a surgical data set comprising 10,040 annotated images acquired from a total of 30 surgical procedures from three different types of surgery. The validation of the competing methods for the three tasks (binary segmentation, multi-instance detection and multi-instance segmentation) was performed in three different stages with an increasing domain gap between the training and the test data. The results confirm the initial hypothesis, namely that algorithm performance degrades with an increasing domain gap. While the average detection and segmentation quality of the best-performing algorithms is high, future research should concentrate on detection and segmentation of small, crossing, moving and transparent instrument(s) (parts). Copyright © 2020, The Authors. All rights reserved.

关键词： Endoscopy

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Distributed access control based on proxy signature in medical cyber-physical systems

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Recent Patents on computer science 2017年第3期10卷 194-200页

作者： Lee, Lingyu Liu, Yingli Key Lab of Computer Technologies Application Yunnan Province Institute KunMing650504 China Faculty of Information Engineering and Automation Kunming University of Science and Technology KunMing650504 China Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology KunMing650504 China

Background: Since the patient-related data stored in the MCPS (Medical Cyber-Physical System) play a critical role in medical diagnosis and treatment, it is essential to ensure the security of these data. Failure to obtain authentic and correct medical data will possibly prevent a patient from being treated effectively, or even lead to wrong treatments, also described in various patents. Moreover, public may not accept MCPS technology if enough attention is not paid to address various security and privacy concerns in MCPS. Especially access to patient-related data must be strictly limited only to authorized users;otherwise, the patients’ privacy could be abused. Methods: In this paper, one of PSWs proposed by Shao, proxy-unprotected, is introduced in our proposed protocol. Based on this method, we propose our distributed access control based on proxy signature in medical cyber-physical systems. Results: The proposed protocol achieves the requirements for access control in the following aspects: Firstly, the authorized users are able to access the nodes in a distributed manner. Secondly, it provides an effective user authentication mechanism. Thirdly, it supports different user privileges. Fourthly, it protects the integrity of query command. The timestamp included in the query command can ensure the freshness of the query command. In addition, it can also be used to prevent replay attacks when the command exceeds the life time. Conclusion: We have proposed a novel distributed dissemination code scheme for MCPS. The security analysis show that the technique guarantees strong unforgeability, verifiability, strong identifia-bility, strong undeniability and prevention of misuse. Moreover, security of the proposed technique does not rely on the availability of a secure channel. © 2017 Bentham science Publishers.

关键词： Diagnosis

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OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines

arXiv

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arXiv 2022年

作者： Babier, Aaron Mahmood, Rafid Zhang, Binghao Alves, Victor G.L. Barragán-Montero, Ana Maria Beaudry, Joel Cardenas, Carlos E. Chang, Yankui Chen, Zijie Chun, Jaehee Diaz, Kelly Eraso, Harold David Faustmann, Erik Gaj, Sibaji Gay, Skylar Gronberg, Mary Guo, Bingqi He, Junjun Heilemann, Gerd Hira, Sanchit Huang, Yuliang Ji, Fuxin Jiang, Dashan Giraldo, Jean Carlo Jimenez Lee, Hoyeon Lian, Jun Liu, Shuolin Liu, Keng-Chi Marrugo, José Miki, Kentaro Nakamura, Kunio Netherton, Tucker Nguyen, Dan Nourzadeh, Hamidreza Osman, Alexander F.I. Peng, Zhao Muñoz, José Darío Quinto Ramsl, Christian Rhee, Dong Joo Rodriguez, Juan David Shan, Hongming Siebers, Jeffrey V. Soomro, Mumtaz H. Sun, Kay Hoyos, Andrés Usuga Valderrama, Carlos Verbeek, Rob Wang, Enpei Willems, Siri Wu, Qi Xu, Xuanang Yang, Sen Yuan, Lulin Zhu, Simeng Zimmermann, Lukas Moore, Kevin L. Purdie, Thomas G. McNiven, Andrea L. Chan, Timothy C.Y. Department Of Mechanical And Industrial Engineering University Of Toronto TorontoON Canada Vector Institute TorontoON Canada Department Of Radiation Oncology University Of Virginia Health System CharlottesvilleVA United States Department Of Molecular Imaging Radiation Oncology UCLouvain Louvain-la-Neuve Belgium Department Of Radiation Oncology Memorial Sloan Kettering Cancer Center New YorkNY United States Department Of Radiation Oncology The University Of Alabama At Birmingham BirminghamAL United States Department Of Engineering And Applied Physics University Of Science And Technology Of China Hefei China Shenying Medical Technology Co. Ltd. Guangdong Shenzhen China Department Of Radiation Oncology Yonsei University Seoul Korea Republic of Department Of Physics National University Of Colombia Medellín Colombia Atominstitut Vienna University Of Technology Vienna Austria Department Of Biomedical Engineering Cleveland Clinic ClevelandOH United States Department Of Radiation Physics The University Of Texas MD Anderson Cancer Center HoustonTX United States Department Of Biomedical Engineering Shanghai Jiao Tong University Shanghai China Department Of Radiation Oncology Medical University Of Vienna Vienna Austria Department Of Biomedical Engineering Johns Hopkins University BaltimoreMD United States Department Of Radiation Oncology Peking University Cancer Hospital And Institute Beijing China Department Of Electrical Engineering And Automation Anhui University Hefei China Department Of Radiation Oncology Massachusetts General Hospital BostonMA United States Department Of Radiation Oncology University Of North Carolina At Chapel Hill Chapel HillNC United States Department Of Medical Imaging Taiwan AI Labs Taipei Taiwan Department Of Biomedical And Health Sciences Hiroshima University Hiroshima Japan Laboratory Department Of Radiation Oncology The University Of Texas Southwestern Medical Center DallasTX United States Department Of Radiatio

We establish an open framework for developing plan optimization models for knowledge-based planning (KBP) in radiotherapy. Our framework includes reference plans for 100 patients with head-and-neck cancer and high-quality dose predictions from 19 KBP models that were developed by different research groups during the OpenKBP Grand Challenge. The dose predictions were input to four optimization models to form 76 unique KBP pipelines that generated 7600 plans. The predictions and plans were compared to the reference plans via: dose score, which is the average mean absolute voxel-by-voxel difference in dose a model achieved;the deviation in dosevolume histogram (DVH) criterion;and the frequency of clinical planning criteria satisfaction. We also performed a theoretical investigation to justify our dose mimicking models. The range in rank order correlation of the dose score between predictions and their KBP pipelines was 0.50 to 0.62, which indicates that the quality of the predictions is generally positively correlated with the quality of the plans. Additionally, compared to the input predictions, the KBPgenerated plans performed significantly better (P © 2022, CC BY.

关键词： Forecasting

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Research and prospect of multimedia information data mining

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Recent Patents on computer science 2017年第1期10卷 25-33页

作者： Hou, Yan Guo, Huiling Nevin, Nigel School of Computer Science and Technology Zhoukou Normal University ZhouKou China Faculty of Information Engineering and Automation Kunming University of Science and Technology KunMing China California University of Management CA United States

Background: In the increasingly large scale of the current multimedia information database, as described in various patents, big data technology is becoming more and more mature, and the problem of massive multimedia data mining is becoming more and more important. Method: In order to solve these problems through the analysis of the status for multimedia data mining, the general system structure in the application of multimedia information mining technology is analyzed, and the different methods and principles of text mining, image mining, video mining, web data mining in multimedia information data mining are made detailed analysis and the advantage and disadvantages are contrasted. Through the design of different experiments, the effectiveness and inferior of different methods are verified. Result: In the improved algorithm, the mining result of the multimedia text data based on correlation analysis is very different from the actual multimedia text data, the result is closer to the original mining image result, so this method is more practical. Conclusion: Through the summary and discussion on the problems existed in the current method, the faced challenges of multimedia information data mining technology are pointed out, to lay the foundation for the further development of the related technology. © 2017 Bentham science Publishers.

关键词： Data mining

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Influence of CNC milling strategies on complex surface machining

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IOP Conference Series: Materials science and engineering 2020年第1期776卷

作者： T Dodok N Čuboňová M Císar V Ivanov D Wiecek Department of Automation and Production systems Faculty of Mechanical Engineering University of Žilina Univerzitná 1 010 26 Žilina Slovak Republic Department of Manufacturing Engineering Machines and Tools Sumy State University 2 Rymskogo-Korsakova St. Sumy 40007 Ukraine Faculty of Mechanical Engineering and Computer Science University of Bielsko-Biala ul. Willowa 2 43-309 Bielsko-Biała Poland

Milling strategies are an integral part of CAD/CAM systems. Every CAD/CAM system offers unique strategies to differentiate itself from the competition. The article deals with analysis of CNC milling strategies in CAD/CAM system Edgecam 2017 R2. Analysis is divided into two parts. In first part are analysed roughing strategies with focus based on time necessary for removal of material. Second part is focused on finishing strategies and achieving the highest quality of surface. In conclusion, the article deals with the analysis of existing milling strategies and the creation of a database for the assignment of optimal roughing and finishing strategies for specified components.

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WSN Key Management Scheme Based on Fully Bomomorphic Encryption 29

WSN Key Management Scheme Based on Fully Bomomorphic Encrypt...

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第29届中国控制与决策会议

作者： Zhang Jing Ma Chen Fan Hongbo Computer Technology Application Key Lab of Yunnan Province Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming University of Science and Technology

ISBN: (纸本)9781509046584

Improving the safe WSN's real-time,energy consumption,and anti-leak is an important research *** on specific operations as addition,multiplication,and so *** homomorphic encryption can manipulate the ciphertext directly to get the correct results without *** fully homomorphic encryption's process of the decryption can be omitted,the safe WSN's characteristics such as real-time and so on can be improved *** management is an important problem of fully homomorphic encryption,in which the ability to anti-capture in WSN comes *** this paper,based on the calculation algorithm of two element symmetrical polynomials proposed by Blundo,we propose a pairwise key establishment scheme by introducing fully homomorphic encryption,which does not only prevent enemy intercepting information about polynomial relation,but also resist the large-scale node capture attack *** and experiments show that this scheme can totally meet the requirements of resource,energy consumption and so on of WSN,and improve the security of WSN at the meantime.

关键词： WSN homomorphic encryption key management

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An Improved Real-time Task Preemptive Scheduling In Cyber-Physical Systems 29

An Improved Real-time Task Preemptive Scheduling In Cyber-Ph...

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第29届中国控制与决策会议

作者： Zhang Jing Yang Xiaoduo Fan Hongbo Computer Technology Application Key Lab of Yunnan Province Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming University of Science and Technology

ISBN: (纸本)9781509046584

To improve the performance of real-time task scheduling and the utilization of the system resources in Cyber-Physical System,at the same time,to reduce the number of task switching,this paper improved traditional preemptive task scheduling,introduced the concept of buffer time and the guard time,made judgments when the task may need to switch to,according to the situation to retain the task which had lower priority but should not be suspended,and let the higher priority task wait for a ***,our research verifies the performance of the algorithm by examples and simulation experiments,demonstrates that the algorithm can optimize the performance of CPS,avoids the jitter caused by frequent task switching and its adverse effects on system performance,reduces the number of task switching,and improves the utilization of resources within the system to some extent.

关键词： CPS Task scheduling Buffer time Preemptive scheduling

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The Real-time Constraint Semantics of Events-driven State Transition for Embedded Control Systems 29

The Real-time Constraint Semantics of Events-driven State Tr...

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第29届中国控制与决策会议

作者： Zhang Jing Chen Yao Sun Jun Fan Hongbo Computer Technology Application Key Lab of Yunnan Province Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming University of Science and Technology

ISBN: (纸本)9781509046584

In this paper,we study the process of physical state transition in the embedded *** key to dramatically increase the efficiency of system is important to meet the deadline and the quality of task process for actors which were released the real-time events and were driven to transfer the state of the *** address these two goals at the same time,we defined a real-time events label of the value constraint and clock constraint conditions,and established a super dense time model contained constraint *** on partial order model to simulate the state time sequence order,we proposed a real-time semantics of the state transition for embedded control *** embedded system state transition constraint while supporting the value constraint was proposed,and this model validation under the clock constraint of events,was ensured real-time operation in the process of execution sequence what has a certain event and *** example of laser gyroscope blocking threshold test system is performed to evaluate the performance of the feedback controller in-depth research which has the effect of value constraint for the state transition of systems.

关键词： Embedded control Real-time events label State transition Constraint conditions Execution sequence

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The Research on Real-time Fault Diagnostic Method of Engine Embedded by GA Optimization and BP Neural Networks 29

The Research on Real-time Fault Diagnostic Method of Engine ...

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第29届中国控制与决策会议

作者： Zhang Jing Fu Xin Fan Hongbo Computer Technology Application Key Lab of Yunnan Province Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming University of Science and Technology

ISBN: (纸本)9781509046584

Embedded system real time measurement and representation method is widely used in industrial CPS control system application,such as engine fault *** malfunction diagnostic methods,which filter the changes in measurable parameters through Kalman filter and then map them to changes in performance parameters of the engine via neural network,have the weaknesses in that the neural network has a slow convergence rate and the optimum is prone to local ***,proposes an approach using genetic algorithm,which stands out in finding global optimum,to refine BP neural *** approach uses global optimum to refine the initial and threshold values of the neural network,decreasing the times of neural network trainings,and thus reducing the training error and lowering the time of *** simulation shows that the approach is feasible,improves the real-timing and error precision of malfunction diagnosis,and therefore is highly valuable in applications.

关键词： Back Propagation neural network genetic algorithm real-time fault diagnosis embedded aeroengines

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