Diagnostic Imaging

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Artificial intelligence based classification and prediction of medical imaging using a novel framework of inverted and self-attention deep neural network architecture.

Scientific reports Mar 13, 2025
Classifying medical images is essential in computer-aided diagnosis (CAD). Although the recent success of deep learning in the classification tasks has proven advantages over the traditional feature extraction techniques, it remains challenging due t...
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Artificial Intelligence Algorithms Humans Neural Networks, Computer Image Processing, Computer-Assisted Diagnostic Imaging Diagnosis, Computer-Assisted Deep Learning
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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...
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Diagnostic Imaging Humans Artificial Intelligence Image Processing, Computer-Assisted Generative Artificial Intelligence
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Environmental Sustainability and Cancer Imaging.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Feb 27, 2025
The rising global burden of cancer drives increased demands for medical imaging, which is essential throughout cancer care. However, delivering medical imaging presents significant environmental challenges including high energy use, reliance on singl...
Humans Neoplasms Diagnostic Imaging
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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...
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Positron-Emission Tomography Magnetic Resonance Imaging Diagnostic Imaging Tomography, X-Ray Computed Deep Learning Humans Artificial Intelligence
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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...
Algorithms Biomedical Research Image Processing, Computer-Assisted Diagnostic Imaging Neural Networks, Computer Humans Machine Learning
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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...
Image Processing, Computer-Assisted Female Diagnostic Imaging Breast Neoplasms Humans Artificial Intelligence
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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 ...
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Bibliometrics Diagnostic Imaging Breast Neoplasms Radiomics Humans 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...
Photography Neural Networks, Computer Diagnostic Imaging Machine Learning Benchmarking Humans Deep Learning Image Processing, Computer-Assisted
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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 Supervised Machine Learning Algorithms Diagnostic Imaging Image Processing, Computer-Assisted Humans Databases, Factual Prostate Machine Learning
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Adherence to the Checklist for Artificial Intelligence in Medical Imaging (CLAIM): an umbrella review with a comprehensive two-level analysis.

Diagnostic and interventional radiology (Ankara, Turkey) Feb 10, 2025
PURPOSE: To comprehensively assess Checklist for Artificial Intelligence in Medical Imaging (CLAIM) adherence in medical imaging artificial intelligence (AI) literature by aggregating data from previous systematic and non-systematic reviews.
Artificial Intelligence Diagnostic Imaging Checklist Guideline Adherence Humans
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