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Segmentation of lesions in skin image based on salient object detection with deeply supervised learning 4

Segmentation of lesions in skin image based on salient objec...

引用

4th IEEE International Conference on computer and Communications, ICCC 2018

作者： Ji, Weijia Cai, Lizhi Chen, Wei Chen, Mingang Chai, Gang Laboratory of Computer Software Testing Evaluating Shanghai Development Center of Computer Software Technology Shanghai China Department of Plastic and Reconstructive Surgery Shanghai Ninth People's Hospital Shanghai JiaoTong University School of Medicine Shanghai China

ISBN: (纸本)9781538683392

In this paper, a binary segmentation method HCDS based on salient object detection is proposed to solve the segmentation of lesions in skin images. The original U-Net model encounters some problems in its application to skin image segmentation, one of which is the non-pathological region information remained in the segmentation results. Our HCDS method improves its basic structure by adding a hybrid convolution module to the direct connection between the down-sampling and up-sampling. It deepens the abstract understanding of the input features in shallow layers and further eliminate the information interference of the non-pathological regions. Besides, the method employs a deeply supervised structure in each stage of up-sampling to learn from the output feature and ground truth. Finally, the HCDS integrates the multi-path outputs to obtain the best result. The experimental results show that the proposed method HCDS can effectively segment the lesion regions from the skin images. Our evaluation metrics about the HCDS are obviously superior to the original U-Net's. © 2018 IEEE.

关键词： Image segmentation

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A file-driven complicated workflow automated test framework

A file-driven complicated workflow automated test framework

引用

International Conference on Information and Automation (ICIA)

作者： Zhenyu Liu Qiang Chen Lizhi Cai Testing and Evaluating Shanghai Key Laboratory of Computer Software Shanghai China

ISBN: (纸本)9781467391054

The complicated workflow is need to develop some complex scripts, which contains data and not easy to modify in automation testing tools. The paper proposed an automatic test framework to fulfill workflow testing requirements. The test framework should develop single file according to the each test requirement. The file is defined executed object and related test data, which drive by test framework. A detail object description and data design method is introduced. The application case is given used with framework and compared to the current method and only use the native script. The experiment and detailed case proved the proposed method is effective.

关键词： software Automation Graphical user interfaces software testing Manuals Browsers

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An empirical study on the impact of class overlap in just-in-time software defect prediction 33

An empirical study on the impact of class overlap in just-in...

引用

33rd International Conference on software Engineering and Knowledge Engineering, SEKE 2021

作者： Yi, Minyang Fan, Guisheng Yu, Huiqun Yang, Xingguang Department of Computer Science and Engineering East China University of Science and Technology Shanghai200237 China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai201112 China Shanghai Engineering Research Center of Smart Energy Shanghai China

ISBN: (纸本)1891706527

Just-in-time software defect prediction (JIT-SDP) is an active research topic in the field of software engineering, aiming at identifying defect-inducing code changes. Most of the current JIT-SDP work focused on model construction. It is often ignored that the performance of classifiers often depends on high quality data. In this paper, we first investigate the impact of the class overlap problem on the performance of the classifiers in JIT-SDP, and propose a new effective preprocessing method (IKMCCA-TL) combining improved K-Means clustering cleaning approach and Tomek-link method. In order to objectively estimate the impact of class overlap on the classifiers in JIT-SDP, we conduct a large-scale empirical study on the data sets of six open source projects and compare the performance of LR, RF and KNN classifiers by using IKMCCA or KMCCA or NCL and without cleaning data. Experimental results show that after removing overlapping instances, the performance of the classifiers is significantly improved in terms of balance, recall and AUC and our proposed method achieves the best performance. © 2021 Knowledge Systems Institute Graduate School. All rights reserved.

关键词： K-means clustering

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An approach to analyzing dynamic trustworthy service composition

An approach to analyzing dynamic trustworthy service composi...

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4th Asian Conference on the Semantic Web, ASWC 2009

作者： Fan, Guisheng Yu, Huiqun Chen, Liqiong Liu, Dongmei Department of Computer Science and Engineering East China University of Science and Technology Shanghai 200237 China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai 201112 China Department of Computer Science and Information Engineering Shanghai Institute of Technology Shanghai 200235 China

ISBN: (纸本)3642108709

Service composition and related technologies have provided favorable means for building complex Web software systems. It may span multiple organizational units requires particular considerations on trustworthy issues. However, the distributive and heterogeneous characteristics of services make it hard to guarantee trustworthiness of service composition. This paper presents a method for analyzing dynamic trustworthy service composition according to the characteristics and requirements of service composition. Petri nets are used to precisely describe the composition process in order to describe the logic relation between different components. Based on this, the concept of trust matrix is given to represent the relationships between states. A trustworthy service composition strategy and its enforcement method are proposed. A case study of Travel Service demonstrates the feasibility of proposed method. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： Petri nets

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evaluating software Maintainability Using Fuzzy Entropy Theory

Evaluating Software Maintainability Using Fuzzy Entropy Theo...

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International Conference on computer and Information Science (ACIS)

作者： Lizhi Cai Zhenyu Liu Juan Zhang Weiqin Tong Genxing Yang Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China School of Computer Engineering and Science Shanghai University China Shanghai Key Laboratory of Computer Software Evaluating and Testing China

With the development of information technology, a large number of software products enter the maintenance phase. The maintainability of software products continues to attract people's attention. This paper proposes a new synthetic maintainability evaluation model basing on fuzzy entropy theory. In the model, the weight of different indexes is calculated by combining the entropy weight and expert weight. The entropy weight can be obtained through measuring the difference of membership degree of the index which reflects the consistency of the expert opinion. The evaluation result is more objective and reasonable. It provides a guideline to design a software product with high maintainability.

关键词： Indexes Entropy software ISO standards software measurement Information entropy

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Analyzing real-time schedulability of resource-oriented distributed real-time embedded software

Analyzing real-time schedulability of resource-oriented dist...

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2010 2nd IEEE International Conference on Information Management and Engineering, ICIME 2010

作者： Chen, Liqiong Liu, Yunxiang Fan, Guisheng Department of Computer Science and Information Engineering Shanghai Institute of Technology Shanghai 200235 China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai 201112 China Department of Computer Science and Engineering East China University of Science and Technology Shanghai 200237 China

ISBN: (纸本)9781424452644

As computer systems become increasingly internetworked, Distributed Real-time Embedded (DRE) software is becoming increasingly common and important, a challenging problem faced by researchers and developers of DRE software is how to devise and implement a method that can effectively analyze requirements in varying operational conditions. In this paper, a Distributed Real-time Embedded net (DREN) is proposed as software design specification modeling tool. The basic tasks, function module and communication process are modeled by using DREN, thus forming the entire application by making use of Petri net's synthesis operation. Time Reachability Graph is adopted to analyze the correctness of DRENmodel, the basic properties of DRE system are also considered. Finally, a specific example is given to simulate the analytical process, the results show that the method can be a good solution to analyze DRE software. © 2010 IEEE.

关键词： software design

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Application and method of quality management for small-size software project

Application and method of quality management for small-size ...

引用

IET International Conference on Information Science and Control Engineering 2012 (ICISCE 2012)

作者： Lin Yang Zhenyu Liu Lizhi Cai Shanghai Key Laboratory of Computer Software Evaluating and Testing China

ISBN: (纸本)9781629939254

This paper studies the quality management method in small-size software project. In traditional method, test and evaluation are prerequisite methods to improve the project quality. The paper analyses characteristics and the disadvantages of project management in small-sized software project. Therefore, some quality activities should be considered in small-sized software project. The paper proposed lightweight quality planning, quality execution and quality monitoring activities in project management. Finally, the paper gives practical applications and proves method effective.

关键词： Project Management Project Quality software testing software Quality Assurance Project management SQA Quality management program testing management of resources software project small size computer software

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A propagation model of reputation query request

A propagation model of reputation query request

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2010 2nd IEEE International Conference on Information Management and Engineering, ICIME 2010

作者： Sun, Hua Yu, Huiqun Department of Computer Science and Engineering East China University of Science and Technology Shanghai China School of Information Science and Engineering Xinjiang University Urumqi China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China

ISBN: (纸本)9781424452644

Reputation is a key factor to enhance reliability and performance of transactions in the network. Many works have focused on rating the reputation of the entities through kinds of technologies. The entities send the request messages about reputation to other entities when they need the reputation of the target entities. Considering the nodes population is highly transient in open network, and the number of requests and responses are also various, this paper builds up a model about propagation of reputation query request. It reveals relationship of query request times, connect rate and response rate. It is a valuable reference to set the scope of TTL in Gnutella. Through reducing the number of query requests, it's significant to efficiently solve the problems about bottleneck of bandwidth and denial of service attacks. © 2010 IEEE.

关键词： Denial-of-service attack

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A Business Process testing Sequence Generation Approach Based on Test Cases Composition

A Business Process Testing Sequence Generation Approach Base...

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ACIS/JNU International Conference on computers, Networks, Systems and Industrial Engineering (CNSI)

作者： Lizhi Cai Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China

This paper proposes a business process testing scenario generation based on test cases composition. Just like path oriented testing technique in structure testing area, this testing method focuses on finding the logical error in the process implementation according to the formal business process presentation. The test cases against a node of process designed by the techniques such as boundary value analysis, equivalence partitioning and so on, may not easily find the errors in the special business process tends. These test cases are modeled as TCN (Test Cases Nets) with a CPN (Colored Petri Nets) in this paper. The BPSN (Business Process Scenario Net) is built by composing the existing TCN. The generation technique of the test scenario for basis path testing for a business process according to the BPSN is discussed. We exemplify our approach in an ATM system that has a rich set of interactions with its users.

关键词： Business testing Asynchronous transfer mode Flow graphs Petri nets Color computer aided software engineering

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Multi-MedVit: a deep learning approach for the diagnosis of COVID-19 with the CT images

Multi-MedVit: a deep learning approach for the diagnosis of ...

引用

2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Cai, Yunjie Zheng, Zeqi Nie, Shanling Guo, Yue Zhang, Ruijie Yang, Hai East China University of Science and Technology Department of Computer Science and Engineering Shanghai200237 China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China University of Southampton School of Electronics and Computer Science United Kingdom

ISBN: (纸本)9781665468190

The grim situation of novel coronavirus pneumonia 2019 (COVID-19) and its terrible spreading speed have already constituted a severe risk to human life, so it is ultimately essential to rapidly and accurately diagnose for COVID-19 pneumonia. Based on this study's 746 lung CT images, we propose Multi-MedVit, a novel auxiliary COVID-19 diagnosis framework based on the multi-input Transformer. We compare Multi-MedVit with state-of-the-art deep learning methods, such as CNN, VGG16, and ResNet50. Multi-MedVit outperformed the other methods on the benchmark dataset and proved that multiscale data input for data augmentation helped enhance model stability. Based on an interpretable analysis of the input and output of Multi-MedVit, we found that with the support of the training set data, the model has been possible to accurately focus on the lesion area for diagnosis of COVID-19 without expert annotations, which can provide initial references containing more potential information to doctors more precisely and fleetly. © 2022 IEEE.

关键词： COVID-19

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