AIMC Topic: Diagnostic Imaging

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Use of ChatGPT Large Language Models to Extract Details of Recommendations for Additional Imaging From Free-Text Impressions of Radiology Reports.

AJR. American journal of roentgenology Jan 29, 2025
Automated extraction of actionable details of recommendations for additional imaging (RAIs) from radiology reports could facilitate tracking and timely completion of clinically necessary RAIs and thereby potentially reduce diagnostic delays. The pu...
Natural Language Processing Diagnostic Imaging Radiology Information Systems Large Language Models Humans Algorithms Retrospective Studies Generative Artificial Intelligence
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A novel approach in cancer diagnosis: integrating holography microscopic medical imaging and deep learning techniques-challenges and future trends.

Biomedical physics & engineering express Jan 29, 2025
Medical imaging is pivotal in early disease diagnosis, providing essential insights that enable timely and accurate detection of health anomalies. Traditional imaging techniques, such as Magnetic Resonance Imaging (MRI), Computer Tomography (CT), ult...
Neoplasms Deep Learning Humans Algorithms Diagnostic Imaging Microscopy Holography Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Artificial General Intelligence for Medical Imaging Analysis.

IEEE reviews in biomedical engineering Jan 28, 2025
Large-scale Artificial General Intelligence (AGI) models, including Large Language Models (LLMs) such as ChatGPT/GPT-4, have achieved unprecedented success in a variety of general domain tasks. Yet, when applied directly to specialized domains like m...
Humans Artificial Intelligence Diagnostic Imaging
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PMFSNet: Polarized multi-scale feature self-attention network for lightweight medical image segmentation.

Computer methods and programs in biomedicine Jan 25, 2025
BACKGROUND AND OBJECTIVES: Current state-of-the-art medical image segmentation methods prioritize precision but often at the expense of increased computational demands and larger model sizes. Applying these large-scale models to the relatively limite...
Algorithms Imaging, Three-Dimensional Humans Neural Networks, Computer Image Processing, Computer-Assisted Diagnostic Imaging
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Reinforced Collaborative-Competitive Representation for Biomedical Image Recognition.

Interdisciplinary sciences, computational life sciences Jan 22, 2025
Artificial intelligence technology has demonstrated remarkable diagnostic efficacy in modern biomedical image analysis. However, the practical application of artificial intelligence is significantly limited by the presence of similar pathologies amon...
Image Processing, Computer-Assisted Diagnostic Imaging Humans Algorithms Artificial Intelligence Databases, Factual
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Towards practical and privacy-preserving CNN inference service for cloud-based medical imaging analysis: A homomorphic encryption-based approach.

Computer methods and programs in biomedicine Jan 21, 2025
BACKGROUND AND OBJECTIVE: Cloud-based Deep Learning as a Service (DLaaS) has transformed biomedicine by enabling healthcare systems to harness the power of deep learning for biomedical data analysis. However, privacy concerns emerge when sensitive us...
Confidentiality Privacy Computer Security Humans Cloud Computing Image Processing, Computer-Assisted Algorithms Neural Networks, Computer Diagnostic Imaging Deep Learning
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Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!

European radiology experimental Jan 15, 2025
Good practices in artificial intelligence (AI) model validation are key for achieving trustworthy AI. Within the cancer imaging domain, attracting the attention of clinical and technical AI enthusiasts, this work discusses current gaps in AI validati...
Diagnostic Imaging Artificial Intelligence Neoplasms Humans
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Deep learning-based encryption scheme for medical images using DCGAN and virtual planet domain.

Scientific reports Jan 7, 2025
The motivation for this article stems from the fact that medical image security is crucial for maintaining patient confidentiality and protecting against unauthorized access or manipulation. This paper presents a novel encryption technique that integ...
Image Processing, Computer-Assisted Diagnostic Imaging Confidentiality Computer Security Algorithms Deep Learning Humans
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Unsupervised deep learning-based medical image registration: a survey.

Physics in medicine and biology Jan 7, 2025
In recent decades, medical image registration technology has undergone significant development, becoming one of the core technologies in medical image analysis. With the rise of deep learning, deep learning-based medical image registration methods ha...
Image Processing, Computer-Assisted Diagnostic Imaging Unsupervised Machine Learning Humans Deep Learning
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Uncertainty Global Contrastive Learning Framework for Semi-Supervised Medical Image Segmentation.

IEEE journal of biomedical and health informatics Jan 7, 2025
In semi-supervised medical image segmentation, the issue of fuzzy boundaries for segmented objects arises. With limited labeled data and the interaction of boundaries from different segmented objects, classifying segmentation boundaries becomes chall...
Databases, Factual Image Processing, Computer-Assisted Humans Algorithms Supervised Machine Learning Image Interpretation, Computer-Assisted Fuzzy Logic Uncertainty Diagnostic Imaging
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