AIMC Topic: Diagnostic Imaging

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[AI-based applications in medical image computing].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Aug 1, 2025
The processing of medical images plays a central role in modern diagnostics and therapy. Automated processing and analysis of medical images can efficiently accelerate clinical workflows and open new opportunities for improved patient care. However, ...
Neural Networks, Computer Artificial Intelligence Humans Diagnostic Imaging Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Deep Learning
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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 Aug 1, 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 Diagnosis, Computer-Assisted Artificial Intelligence Diagnostic Imaging
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Large models in medical imaging: Advances and prospects.

Chinese medical journal Jul 20, 2025
Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in proc...
Precision Medicine Diagnostic Imaging Humans Image Processing, Computer-Assisted
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A general survey on medical image super-resolution via deep learning.

Computers in biology and medicine Jul 1, 2025
Medical image super-resolution (SR) is a classic regression task in low-level vision. Limited by hardware limitations, acquisition time, low radiation dose, and other factors, the spatial resolution of some medical images is not sufficient. To addres...
Diagnostic Imaging Image Processing, Computer-Assisted Humans Surveys and Questionnaires Deep Learning
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A systematic review of generative AI approaches for medical image enhancement: Comparing GANs, transformers, and diffusion models.

International journal of medical informatics Jul 1, 2025
BACKGROUND: Medical imaging is a vital diagnostic tool that provides detailed insights into human anatomy but faces challenges affecting its accuracy and efficiency. Advanced generative AI models offer promising solutions. Unlike previous reviews wit...
Artificial Intelligence Humans Image Enhancement Diagnostic Imaging Algorithms Image Processing, Computer-Assisted
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A Global Visual Information Intervention Model for Medical Visual Question Answering.

Computers in biology and medicine Jun 1, 2025
Medical Visual Question Answering (Med-VQA) aims to furnish precise responses to clinical queries related to medical imagery. While its transformative potential in healthcare is undeniable, current solutions remain nascent and are yet to see widespre...
Machine Learning Diagnostic Imaging Computer Simulation Humans
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Generative adversarial networks in medical image reconstruction: A systematic literature review.

Computers in biology and medicine Jun 1, 2025
PURPOSE: Recent advancements in generative adversarial networks (GANs) have demonstrated substantial potential in medical image processing. Despite this progress, reconstructing images from incomplete data remains a challenge, impacting image quality...
Generative Adversarial Networks Diagnostic Imaging Neural Networks, Computer Image Processing, Computer-Assisted Humans
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S-Net: A novel shallow network for enhanced detail retention in medical image segmentation.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: In recent years, deep U-shaped network architectures have been widely applied to medical image segmentation tasks, achieving notable successes. However, the inherent limitation of this architecture is that multiple down-samp...
Image Processing, Computer-Assisted Neural Networks, Computer Humans Algorithms Diagnostic Imaging
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Advancing hierarchical neural networks with scale-aware pyramidal feature learning for medical image dense prediction.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: Hierarchical neural networks are pivotal in medical imaging for multi-scale representation, aiding in tasks such as object detection and segmentation. However, their effectiveness is often limited by the loss of intra-scale ...
Machine Learning Algorithms Humans Neural Networks, Computer Diagnostic Imaging Image Processing, Computer-Assisted Brain Neoplasms Semantics
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A Trusted Medical Image Zero-Watermarking Scheme Based on DCNN and Hyperchaotic System.

IEEE journal of biomedical and health informatics Jun 1, 2025
The zero-watermarking methods provide a means of lossless, which was adopted to protect medical image copyright requiring high integrity. However, most existing studies have only focused on robustness and there has been little discussion about the an...
Neural Networks, Computer Algorithms Humans Computer Security Diagnostic Imaging Image Processing, Computer-Assisted
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