AIMC Topic: Diagnostic Imaging

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Contrastive Registration for Unsupervised Medical Image Segmentation.

IEEE transactions on neural networks and learning systems Jan 7, 2025
Medical image segmentation is an important task in medical imaging, as it serves as the first step for clinical diagnosis and treatment planning. While major success has been reported using deep learning supervised techniques, they assume a large and...
Algorithms Databases, Factual Humans Neural Networks, Computer Unsupervised Machine Learning Diagnostic Imaging Deep Learning Image Processing, Computer-Assisted
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Artificial Intelligence in Gastrointestinal Imaging: Advances and Applications.

Radiologic clinics of North America Jan 4, 2025
While artificial intelligence (AI) has shown considerable progress in many areas of medical imaging, applications in abdominal imaging, particularly for the gastrointestinal (GI) system, have notably lagged behind advancements in other body regions. ...
Gastrointestinal Tract Gastrointestinal Diseases Diagnostic Imaging Image Interpretation, Computer-Assisted Artificial Intelligence Humans
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Automatic medical report generation based on deep learning: A state of the art survey.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 4, 2025
With the increasing popularity of medical imaging and its expanding applications, posing significant challenges for radiologists. Radiologists need to spend substantial time and effort to review images and manually writing reports every day. To addre...
Diagnostic Imaging Radiology Information Systems Humans Deep Learning
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Neural Architecture Search for biomedical image classification: A comparative study across data modalities.

Artificial intelligence in medicine Jan 4, 2025
Deep neural networks have significantly advanced medical image classification across various modalities and tasks. However, manually designing these networks is often time-consuming and suboptimal. Neural Architecture Search (NAS) automates this proc...
Humans Neural Networks, Computer Diagnostic Imaging Algorithms Image Processing, Computer-Assisted
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Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging.

IEEE transactions on medical imaging Jan 2, 2025
Data uncertainties, such as sensor noise, occlusions or limitations in the acquisition method can introduce irreducible ambiguities in images, which result in varying, yet plausible, semantic hypotheses. In Machine Learning, this ambiguity is commonl...
Humans Image Processing, Computer-Assisted Algorithms Models, Statistical Brain Diagnostic Imaging Uncertainty Machine Learning
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Artificial intelligence education in medical imaging: A scoping review.

Journal of medical imaging and radiation sciences Dec 22, 2024
BACKGROUND: The rise of Artificial intelligence (AI) is reshaping healthcare, particularly in medical imaging. In this emerging field, clinical imaging personnel need proper training. However, formal AI education is lacking in medical curricula, coup...
Artificial Intelligence Diagnostic Imaging Humans Curriculum Education, Medical
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Local interpretable model-agnostic explanation approach for medical imaging analysis: A systematic literature review.

Computers in biology and medicine Dec 19, 2024
BACKGROUND: The interpretability and explainability of machine learning (ML) and artificial intelligence systems are critical for generating trust in their outcomes in fields such as medicine and healthcare. Errors generated by these systems, such as...
Algorithms Diagnostic Imaging Machine Learning Humans Artificial Intelligence
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Intelligent imaging technology applications in multidisciplinary hospitals.

Chinese medical journal Dec 18, 2024
With the rapid development of artificial intelligence technology, its applications in medical imaging have become increasingly extensive. This review aimed to analyze the current development status and future direction of intelligent imaging technolo...
Humans Artificial Intelligence Hospitals Diagnostic Imaging
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Image Synthesis in Nuclear Medicine Imaging with Deep Learning: A Review.

Sensors (Basel, Switzerland) Dec 18, 2024
Nuclear medicine imaging (NMI) is essential for the diagnosis and sensing of various diseases; however, challenges persist regarding image quality and accessibility during NMI-based treatment. This paper reviews the use of deep learning methods for g...
Image Processing, Computer-Assisted Algorithms Deep Learning Diagnostic Imaging Radiopharmaceuticals Humans Nuclear Medicine
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The critical need for an open medical imaging database in Japan: implications for global health and AI development.

Japanese journal of radiology Dec 13, 2024
Japan leads OECD countries in medical imaging technology deployment but lacks open, large-scale medical imaging databases crucial for AI development. While Japan maintains extensive repositories, access restrictions limit their research utility, cont...
Diagnostic Imaging Japan Information Dissemination Humans Databases, Factual Artificial Intelligence Global Health
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