AIMC Topic: Diagnostic Imaging

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Fitness for Purpose of Text-to-Image Generative Artificial Intelligence Image Creation in Medical Imaging.

Journal of nuclear medicine technology Mar 5, 2025
The recent emergence of text-to-image generative artificial intelligence (AI) diffusion models such as DALL-E, Firefly, Stable Diffusion, and Midjourney has been touted with popular hype about the transformative potential in health care. This hype-dr...
Image Processing, Computer-Assisted Generative Artificial Intelligence Diagnostic Imaging Humans Artificial Intelligence
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Artificial intelligence in medical imaging: From task-specific models to large-scale foundation models.

Chinese medical journal Feb 26, 2025
Artificial intelligence (AI), particularly deep learning, has demonstrated remarkable performance in medical imaging across a variety of modalities, including X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emi...
Artificial Intelligence Tomography, X-Ray Computed Humans Diagnostic Imaging Positron-Emission Tomography Deep Learning Magnetic Resonance Imaging
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Exploring the values underlying machine learning research in medical image analysis.

Medical image analysis Feb 25, 2025
Machine learning has emerged as a crucial tool for medical image analysis, largely due to recent developments in deep artificial neural networks addressing numerous, diverse clinical problems. As with any conceptual tool, the effective use of machine...
Diagnostic Imaging Biomedical Research Image Processing, Computer-Assisted Humans Machine Learning Algorithms Neural Networks, Computer
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AI in Breast Cancer Imaging: An Update and Future Trends.

Seminars in nuclear medicine Feb 25, 2025
Breast cancer is one of the most common types of cancer affecting women worldwide. Artificial intelligence (AI) is transforming breast cancer imaging by enhancing diagnostic capabilities across multiple imaging modalities including mammography, digit...
Diagnostic Imaging Artificial Intelligence Female Breast Neoplasms Image Processing, Computer-Assisted Humans
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Decoding breast cancer imaging trends: the role of AI and radiomics through bibliometric insights.

Breast cancer research : BCR Feb 25, 2025
BACKGROUND: Radiomics and AI have been widely used in breast cancer imaging, but a comprehensive systematic analysis is lacking. Therefore, this study aims to conduct a bibliometrics analysis in this field to discuss its research status and frontier ...
Humans Bibliometrics Diagnostic Imaging Breast Neoplasms Radiomics Artificial Intelligence Female
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Large-scale benchmarking and boosting transfer learning for medical image analysis.

Medical image analysis Feb 21, 2025
Transfer learning, particularly fine-tuning models pretrained on photographic images to medical images, has proven indispensable for medical image analysis. There are numerous models with distinct architectures pretrained on various datasets using di...
Benchmarking Photography Image Processing, Computer-Assisted Diagnostic Imaging Machine Learning Deep Learning Humans Neural Networks, Computer
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Rethinking Copy-Paste for Consistency Learning in Medical Image Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 14, 2025
Semi-supervised learning based on consistency learning offers significant promise for enhancing medical image segmentation. Current approaches use copy-paste as an effective data perturbation technique to facilitate weak-to-strong consistency learnin...
Male Image Processing, Computer-Assisted Algorithms Databases, Factual Humans Supervised Machine Learning Diagnostic Imaging Machine Learning Prostate
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One-shot learning for generalization in medical image classification across modalities.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 9, 2025
Generalizability is one of the biggest challenges hindering the advancement of medical sensing technologies across multiple imaging modalities. This issue is further impaired when the imaging data is limited in scope or of poor quality. To tackle thi...
Humans Machine Learning Diagnostic Imaging Deep Learning Image Processing, Computer-Assisted Algorithms Tomography, X-Ray Computed
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Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data.

F1000Research Feb 7, 2025
BACKGROUND: Machine learning and AI promise to revolutionize the way we leverage medical imaging data for improving care but require large datasets to train computational models that can be implemented in clinical practice. However, processing large ...
Image Processing, Computer-Assisted Software Diagnostic Imaging Humans Neoplasms Machine Learning
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Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptions.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 1, 2025
Deep learning-based image synthesis for medical imaging is currently an active research topic with various clinically relevant applications. Recently, methods allowing training with misaligned data have started to emerge, yet current solution lack ro...
Diagnostic Imaging Artifacts Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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