检索结果-南通市图书馆

CrossLinkNet: An Explainable and trustworthy AI Framework for Whole-Slide Images Segmentation

Computers, Materials & Continua 2024年第6期79卷 4703-4724页

作者： Peng Xiao Qi Zhong Jingxue Chen Dongyuan Wu Zhen Qin Erqiang Zhou Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of ChinaChengdu610054China Faculty of Data Science City University of MacaoMacao999078China

In the intelligent medical diagnosis area,Artificial Intelligence(AI)’s trustworthiness,reliability,and interpretability are critical,especially in cancer *** neural networks,while excellent at processing natural images,often lack interpretability and adaptability when processing high-resolution digital pathological *** limitation is particularly evident in pathological diagnosis,which is the gold standard of cancer diagnosis and relies on a pathologist’s careful examination and analysis of digital pathological slides to identify the features and progression of the ***,the integration of interpretable AI into smart medical diagnosis is not only an inevitable technological trend but also a key to improving diagnostic accuracy and *** this paper,we introduce an innovative Multi-Scale Multi-Branch Feature Encoder(MSBE)and present the design of the CrossLinkNet *** MSBE enhances the network’s capability for feature extraction by allowing the adjustment of hyperparameters to configure the number of branches and *** CrossLinkNet Framework,serving as a versatile image segmentation network architecture,employs cross-layer encoder-decoder connections for multi-level feature fusion,thereby enhancing feature integration and segmentation *** quantitative and qualitative experiments on two datasets demonstrate that CrossLinkNet,equipped with the MSBE encoder,not only achieves accurate segmentation results but is also adaptable to various tumor segmentation tasks and scenarios by replacing different feature ***,CrossLinkNet emphasizes the interpretability of the AI model,a crucial aspect for medical professionals,providing an in-depth understanding of the model’s decisions and thereby enhancing trust and reliability in AI-assisted diagnostics.

关键词： Explainable AI security trustworthy CrossLinkNet whole slide images

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A Comprehensive Survey on trustworthy Graph Neural Networks:Privacy,Robustness,Fairness,and Explainability

引用

Machine Intelligence Research 2024年第6期21卷 1011-1061页

作者： Enyan Dai Tianxiang Zhao Huaisheng Zhu Junjie Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang The Pennsylvania State University State College16801USA Michigan State University East Lansing48824USA

Graph neural networks(GNNs)have made rapid developments in the recent *** to their great ability in modeling graph-structured data,GNNs are vastly used in various applications,including high-stakes scenarios such as financial analysis,traffic predictions,and drug *** their great potential in benefiting humans in the real world,recent study shows that GNNs can leak private information,are vulnerable to adversarial attacks,can inherit and magnify societal bias from training data and lack inter-pretability,which have risk of causing unintentional harm to the users and *** example,existing works demonstrate that at-tackers can fool the GNNs to give the outcome they desire with unnoticeable perturbation on training *** trained on social networks may embed the discrimination in their decision process,strengthening the undesirable societal ***,trust-worthy GNNs in various aspects are emerging to prevent the harm from GNN models and increase the users'trust in *** this pa-per,we give a comprehensive survey of GNNs in the computational aspects of privacy,robustness,fairness,and *** each aspect,we give the taxonomy of the related methods and formulate the general frameworks for the multiple categories of trustworthy *** also discuss the future research directions of each aspect and connections between these aspects to help achieve trustworthi-ness.

关键词： Graph neural networks(GNNs) trustworthy privacy robustness fairness explainability

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Effects of attention and reliability on the performance of online medical crowdfunding projects: The moderating role of target amount

引用

Journal of Management Science and Engineering 2020年第3期5卷 162-171页

作者： Shan Liu Tingwei Cheng Hao Wang School of Management Xi’an Jiaotong UniversityXi’an710049China

Medical crowdfunding platform helps numerous patients access enthusiastic donors and address financial difficulties,but many crowdfunding projects fail to reach their target ***,how a crowdfunding project can attract considerable donors is *** study examines the effects of attention and reliability on the performance of online medical crowdfunding projects and how target amount changes such *** on objective data of 1177 crowdfunding projects from 2016 to January 2018 in a large medical crowdfunding platform in China,we find that the project donor's attention(the number of forwards and comments)and reliability(the number of dynamic updates,empirical users,and pictures)positively affect the medical crowdfunding performance of the ***,target amount weakens the positive effects of the number of for-wards and comments in online medical crowdfunding ***,project spon-sors should set reasonable target fundraising amounts while showing attention and reliability to *** with previous research that mainly explores the influence of external factors on crowdfunding outcomes from the perspective of donors,this paper focuses on the internal project factors and explores the concerns and trustworthiness of crowdfunding projects,enriching the literature related to fundraising ability in the project.

关键词： Project management Medical crowdfunding Fundraising performance Attention economic theory trustworthy Target amount

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Research and Analysis of Structural Hole and Matching Coefficient

引用

Journal of Software Engineering and Applications 2010年第11期3卷 1080-1087页

作者： Penghua Cai Hai Zhao Hong Liu Rong Pan Zheng Liu Hui Li 不详

Measure is a map from the reality or experimental world to the mathematical world, through which people can more easily understand the properties of entities and the relationship between them. But the traditional software measurement methods have been unable to effectively measure this large-scale software. Therefore, trustworthy measurement gives an accurate measurement to these emerging features, providing valuable perspectives and different research dimensions to understand software systems. The paper introduces the complex network theory to software measurement methods and proposes a statistical measurement methodology. First we study the basic parameters of the complex network, and then introduce two new measurement parameters: structural holes, matching coefficient.

关键词： Large-Scale Software trustworthy Measurement Structural Holes Matching Coefficient

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Preface

引用

Journal of Computer Science & Technology 2019年第5期34卷 939-941页

作者： Tao Xie Jun Wei Chang Xu Zhi Jin Xiaoxing Ma Peking University Institute of Software Chinese Academy of Sciences Nanjing University

As a continuation of last four years’ special sections on software systems, this special section encourages and promotes research to address challenges from the perspective of software systems. The goal of this special section is to present state-of-the-art and high-quality original research in the area of software systems. Different from previous special sections, this special section includes two different major themes: 1) Internetware and Beyond;2) trustworthy Computing Systems and Networks.

关键词： software systems trustworthy Computing Systems

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

可解释人工智能问题

引用

科学技术哲学 2023年第11期

作者：顿新国

当代人工智能技术在给人类带来多方面福利的同时，面临黑箱、鲁棒性和可解释性等问题，发展值得信赖的可解释人工智能已成为人工智能领域的核心关切。论文在论证可解释人工智能为什么重要的基础上，对可解释人工智能的内涵进行界定，进... 详细信息

当代人工智能技术在给人类带来多方面福利的同时，面临黑箱、鲁棒性和可解释性等问题，发展值得信赖的可解释人工智能已成为人工智能领域的核心关切。论文在论证可解释人工智能为什么重要的基础上，对可解释人工智能的内涵进行界定，进而提出发展可解释人工智能需遵循的一些原则，它们也可看作可解释人工智能需达致的目标和要求。论文最后提出了两点关于实现可解释人工智能途径的构想。

关键词：人工智能可解释性可信赖性透明性可达性 AI explainability trustworthy transparency accessibility

来源：人大复印报刊资料评论

在线全文

人大复印报刊资料

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：