AIMC Topic: Diagnostic Imaging

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Visualizing radiological data bias through persistence images.

Oncotarget Nov 12, 2024
Persistence images, derived from topological data analysis, emerge as a powerful tool for visualizing and mitigating biases in radiological data interpretation and AI model development. This technique transforms complex topological features into stab...
Radiology Bias Artificial Intelligence Diagnostic Imaging Humans
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Enhancing medical imaging education: integrating computing technologies, digital image processing and artificial intelligence.

Journal of medical radiation sciences Nov 7, 2024
The rapid advancement of technology has brought significant changes to various fields, including medical imaging (MI). This discussion paper explores the integration of computing technologies (e.g. Python and MATLAB), digital image processing (e.g. i...
Image Processing, Computer-Assisted Diagnostic Imaging Curriculum Education, Medical Humans Artificial Intelligence
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Specificity-Aware Federated Learning With Dynamic Feature Fusion Network for Imbalanced Medical Image Classification.

IEEE journal of biomedical and health informatics Nov 6, 2024
Recently, federated learning has become a powerful technique for medical image classification due to its ability to utilize datasets from multiple clinical clients while satisfying privacy constraints. However, there are still some obstacles in feder...
Algorithms Databases, Factual Humans Machine Learning Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Diagnostic Imaging
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Few-shot learning for inference in medical imaging with subspace feature representations.

PloS one Nov 6, 2024
Unlike in the field of visual scene recognition, where tremendous advances have taken place due to the availability of very large datasets to train deep neural networks, inference from medical images is often hampered by the fact that only small amou...
Image Processing, Computer-Assisted Algorithms Diagnostic Imaging Principal Component Analysis Pattern Recognition, Automated Deep Learning Humans Neural Networks, Computer
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MCI Net: Mamba- Convolutional lightweight self-attention medical image segmentation network.

Biomedical physics & engineering express Nov 5, 2024
With the development of deep learning in the field of medical image segmentation, various network segmentation models have been developed. Currently, the most common network models in medical image segmentation can be roughly categorized into pure co...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Diagnostic Imaging Algorithms Databases, Factual Humans Neural Networks, Computer
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Editorial: Artificial Intelligence (AI), Digital Image Analysis, and the Future of Cancer Diagnosis and Prognosis.

Medical science monitor : international medical journal of experimental and clinical research Nov 1, 2024
On October 8 2024, the Royal Swedish Academy of Sciences announced the 2024 Nobel Prize in Physics was awarded to Hopfield and Hinton for their foundation research on machine learning with artificial neural networks, which resulted in the current app...
Algorithms Artificial Intelligence Prognosis Machine Learning Image Processing, Computer-Assisted Neoplasms Diagnostic Imaging Humans Neural Networks, Computer
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CK-ATTnet: Medical image segmentation network based on convolutional kernel attention.

Computers in biology and medicine Oct 28, 2024
The medical image partition model has a wide range of application prospects in medical diagnosis and treatment and has become an important auxiliary method to improve the diagnostic level by medical imaging analysis. After the feature extraction abil...
Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer Diagnostic Imaging
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Evaluating and enhancing the robustness of vision transformers against adversarial attacks in medical imaging.

Medical & biological engineering & computing Oct 25, 2024
Deep neural networks (DNNs) have demonstrated exceptional performance in medical image analysis. However, recent studies have uncovered significant vulnerabilities in DNN models, particularly their susceptibility to adversarial attacks that manipulat...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Diagnostic Imaging Computer Security Algorithms Deep Learning
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Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics.

Medical physics Oct 24, 2024
BACKGROUND: The findings of the 2023 AAPM Grand Challenge on Deep Generative Modeling for Learning Medical Image Statistics are reported in this Special Report.
Diagnostic Imaging Research Report Humans Deep Learning Image Processing, Computer-Assisted
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Artificial intelligence in medical imaging education: Recommendations for undergraduate curriculum development.

Radiography (London, England : 1995) Oct 24, 2024
OBJECTIVES: Artificial intelligence (AI) is rapidly being integrated into medical imaging practice, prompting calls to enhance AI education in undergraduate radiography programs. Combining evidence from literature, practitioner insights, and industry...
Humans Radiology Artificial Intelligence Curriculum Diagnostic Imaging Education, Medical, Undergraduate
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