AIMC Topic: Diagnostic Imaging

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Enhanced security for medical images using a new 5D hyper chaotic map and deep learning based segmentation.

Scientific reports Jul 2, 2025
Medical image encryption is important for maintaining the confidentiality of sensitive medical data and protecting patient privacy. Contemporary healthcare systems store significant patient data in text and graphic form. This research proposes a New ...
Algorithms Deep Learning Humans Confidentiality Computer Security Image Processing, Computer-Assisted Diagnostic Imaging
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Deep generative models for Bayesian inference on high-rate sensor data: applications in automotive radar and medical imaging.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Jun 19, 2025
Deep generative models (DGMs) have been studied and developed primarily in the context of natural images and computer vision. This has spurred the development of (Bayesian) methods that use these generative models for inverse problems in image restor...
Radar Image Processing, Computer-Assisted Automobiles Diagnostic Imaging Bayes Theorem Algorithms Deep Learning Humans
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Implicit neural representation for medical image reconstruction.

Physics in medicine and biology Jun 11, 2025
Medical image reconstruction aims to generate high-quality images from incompletely sampled raw sensor data, which poses an ill-posed inverse problem. Traditional iterative reconstruction methods rely on prior information to empirically construct reg...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Diagnostic Imaging
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Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3.

Journal of nuclear medicine technology Jun 4, 2025
Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-35% of trainee radiologists are female, despite more than 50% of medical students' being female. Similar gender disparities are evident across the medi...
Ethnicity Sexism Generative Artificial Intelligence Diagnostic Imaging Female Male Humans Artificial Intelligence
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Visual-language foundation models in medical imaging: A systematic review and meta-analysis of diagnostic and analytical applications.

Computer methods and programs in biomedicine May 21, 2025
BACKGROUND AND OBJECTIVE: Visual-language foundation models (VLMs) have garnered attention for their numerous advantages and significant potential in AI-aided diagnosis and treatment, driving widespread applications in medical tasks. This study analy...
Humans Artificial Intelligence Diagnosis, Computer-Assisted Diagnostic Imaging
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Escarcitys: A framework for enhancing medical image classification performance in scarcity of trainable samples scenarios.

Neural networks : the official journal of the International Neural Network Society May 16, 2025
In the field of healthcare, the acquisition and annotation of medical images present significant challenges, resulting in a scarcity of trainable samples. This data limitation hinders the performance of deep learning models, creating bottlenecks in c...
Diagnostic Imaging Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer
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MDEU-Net: Medical Image Segmentation Network Based on Multi-Head Multi-Scale Cross-Axis.

Sensors (Basel, Switzerland) May 5, 2025
Significant advances have been made in the application of attention mechanisms to medical image segmentation, and these advances are notably driven by the development of the cross-axis attention mechanism. However, challenges remain in handling compl...
Diagnostic Imaging Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Medical image translation with deep learning: Advances, datasets and perspectives.

Medical image analysis Apr 27, 2025
Traditional medical image generation often lacks patient-specific clinical information, limiting its clinical utility despite enhancing downstream task performance. In contrast, medical image translation precisely converts images from one modality to...
Neural Networks, Computer Deep Learning Humans Image Interpretation, Computer-Assisted Datasets as Topic Image Processing, Computer-Assisted Diagnostic Imaging
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Integrating AI into medical imaging curricula: Insights from UK HEIs.

Radiography (London, England : 1995) Apr 24, 2025
INTRODUCTION: With artificial intelligence (AI) becoming increasingly integrated into medical imaging, the Health and Care Professions Council (HCPC) updated its Standards of Proficiency for Radiographers in Autumn 2023. These changes require clinici...
Curriculum United Kingdom Diagnostic Imaging Radiology Humans Artificial Intelligence Surveys and Questionnaires
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Federated Learning in radiomics: A comprehensive meta-survey on medical image analysis.

Computer methods and programs in biomedicine Apr 19, 2025
Federated Learning (FL) has emerged as a promising approach for collaborative medical image analysis while preserving data privacy, making it particularly suitable for radiomics tasks. This paper presents a systematic meta-analysis of recent surveys ...
Surveys and Questionnaires Image Processing, Computer-Assisted Diagnostic Imaging Federated Learning Privacy Algorithms Radiomics Humans Machine Learning
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