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Design of Network Medical Image Information Feature Diagnosis Method Based on Big Data
In the context of "smart healthcare", due to the substantial increase in medical data and patient diagnostic needs, conventional diagnostic methods...
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Positional Information is a Strong Supervision for Volumetric Medical Image Segmentation
Medical image segmentation is a crucial preliminary step for a number of downstream diagnosis tasks. As deep convolutional neural networks...
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A Blind and High-Capacity Data Hiding Scheme for Medical Information Security
How to guarantee the confidentiality of sensitive data communicated over the Internet and restrict access to designated information is today’s key...
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A distribution information sharing federated learning approach for medical image data
In recent years, federated learning has been believed to play a considerable role in cross-silo scenarios (e.g., medical institutions) due to its...
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Medical Image Segmentation Based on Clustering Feature Information Enhancement
Medical image segmentation provides reliable basis for clinical diagnosis and pathology research, and has important medical application value....
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Associative Information Retrieval in Medical Databases
The purpose of this study is to formalize the problem and develop a method for associative information retrieval in medical databases during the...
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A blockchain-based secure storage scheme for medical information
Medical data involves a large amount of personal information and is highly privacy sensitive. In the age of big data, the increasing informatization...
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On Parameterized Picture Fuzzy Discriminant Information Measure in Medical Diagnosis Problem
Decision-making processes related to the problems of pattern recognition, clustering, and expert and knowledge-based systems contain a lot of...
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Storing and Accessing Medical Information Using Blockchain for Improved Security
Medical information is highly sensitive and needs to be protected. Medical data should be accessible only to those who need to access it and for...
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Multimodal medical image fusion with convolution sparse representation and mutual information correlation in NSST domain
Multimodal medical image is an effective method to solve a series of clinical problems, such as clinical diagnosis and postoperative treatment. In...
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Automatically Extracting Information in Medical Dialogue: Expert System and Attention for Labelling
Medical dialogue information extraction is becoming an increasingly significant problem in modern medical care. It is difficult to extract key...
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Real-time medical image denoising and information hiding model based on deep wavelet multiscale autonomous unmanned analysis
Image is the basis of human vision and the most commonly used information carrier in social activities. In the field of medicine, medical imaging...
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Information Retrieval from Healthcare Information System
The term medical information retrieval refers to the collection of the dataset from different sources like hospitals, organizations, and healthcare...
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Securing Sensitive Medical Information with Basic and Pre-large Coati Optimization Algorithm for E-Health System Data Sanitation
Privacy preservation is increasingly crucial in e-Health systems, particularly within the realm of privacy-preserving data mining, which aims to...
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Protection of Medical Information Systems Against Cyber Attacks: A Graph Theoretical Approach
Securing electronic health records of patients is the paramount concern in medical information systems which faces unique set of challenges....
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TODIM-VIKOR method based on hybrid weighted distance under probabilistic uncertain linguistic information and its application in medical logistics center site selection
At a time of global epidemic control, the location of the medical logistics distribution center (MLDC) has an important impact on the operation of...
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Information Granulating and Its Use in Descriptive and Predictive Analysis of Medical Data
The article discusses the task of descriptive and predictive analysis based on information granulation, focused on the processing of medical data,...
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Privacy Violation and Information Misuse in the Internet of Medical Things (IoMT)
In this paper, a greater emphasis has been given to analyzing the security issues and ethical challenges faced while using the Internet of medical...
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PASPP Medical Transformer for Medical Image Segmentation
Medical Transformer (MedT) has recently attracted much attention in medical segmentation as it could perform global context of the image and can work...
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Advantages of Automated Testing of Medical Applications and Information Systems Using Gherkin and Behavior-Driven Development
This research delves into the realm of automated testing for medical applications and information systems by employing Gherkin syntax and...