AIMC Topic: Diagnostic Imaging

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Revisiting medical image retrieval via knowledge consolidation.

Medical image analysis Mar 22, 2025
As artificial intelligence and digital medicine increasingly permeate healthcare systems, robust governance frameworks are essential to ensure ethical, secure, and effective implementation. In this context, medical image retrieval becomes a critical ...
Diagnostic Imaging Artificial Intelligence Radiology Information Systems Information Storage and Retrieval Algorithms Humans
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CLIP in medical imaging: A survey.

Medical image analysis Mar 22, 2025
Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training paradigm, successfully introduces text supervision to vision models. It has shown promising results across various tasks due to its generalizability and interpretabil...
Diagnostic Imaging Surveys and Questionnaires Natural Language Processing Humans
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Infection and Inflammation in Nuclear Medicine Imaging: The Role of Artificial Intelligence.

Seminars in nuclear medicine Mar 22, 2025
Infectious and inflammatory diseases represent a global challenge. Delayed diagnosis and treatment lead to death, disabilities and impairment of the quality of life. The detection of low-grade inflammation and occult infections remains challenging. N...
Inflammation Diagnostic Imaging Infections Nuclear Medicine Artificial Intelligence Image Processing, Computer-Assisted Humans
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A novel framework for segmentation of small targets in medical images.

Scientific reports Mar 22, 2025
Medical image segmentation represents a pivotal and intricate procedure in the domain of medical image processing and analysis. With the progression of artificial intelligence in recent years, the utilization of deep learning techniques for medical i...
Diagnostic Imaging Humans Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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American College of Veterinary Radiology and European College of Veterinary Diagnostic Imaging position statement on artificial intelligence.

Journal of the American Veterinary Medical Association Mar 19, 2025
The American College of Veterinary Radiology (ACVR) and the European College of Veterinary Diagnostic Imaging (ECVDI) recognize the transformative potential of AI in veterinary diagnostic imaging and radiation oncology. This position statement outlin...
United States Veterinary Medicine Artificial Intelligence Diagnostic Imaging Radiology Societies, Veterinary Animals Europe
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Boundary-enhanced local-global collaborative network for medical image segmentation.

Scientific reports Mar 17, 2025
Medical imaging plays a vital role as an auxiliary tool in clinical diagnosis and treatment, with segmentation serving as a crucial foundational process in medical image analysis. Nonetheless, challenges such as class imbalance and indistinct boundar...
Diagnostic Imaging Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Effective Semi-Supervised Medical Image Segmentation With Probabilistic Representations and Prototype Learning.

IEEE transactions on medical imaging Mar 17, 2025
Label scarcity, class imbalance and data uncertainty are three primary challenges that are commonly encountered in the semi-supervised medical image segmentation. In this work, we focus on the data uncertainty issue that is overlooked by previous lit...
Image Processing, Computer-Assisted Models, Statistical Diagnostic Imaging Supervised Machine Learning Humans Algorithms
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Structured hashing with deep learning for modality, organ, and disease content sensitive medical image retrieval.

Scientific reports Mar 14, 2025
Evidence-based medicine is the preferred procedure among clinicians for treating patients. Content-based medical image retrieval (CBMIR) is widely used to extract evidence from a large archive of medical images. Developing effective CBMIR systems for...
Information Storage and Retrieval Image Processing, Computer-Assisted Diagnostic Imaging Deep Learning Humans Algorithms Databases, Factual
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Deep learning in nuclear medicine: from imaging to therapy.

Annals of nuclear medicine Mar 13, 2025
BACKGROUND: Deep learning, a leading technology in artificial intelligence (AI), has shown remarkable potential in revolutionizing nuclear medicine.
Deep Learning Image Processing, Computer-Assisted Humans Diagnostic Imaging Nuclear Medicine
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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...
Deep Learning Image Processing, Computer-Assisted Algorithms Diagnosis, Computer-Assisted Diagnostic Imaging Humans Neural Networks, Computer Artificial Intelligence
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