AIMC Topic: Diagnostic Imaging
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Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review.
Journal of medical systems
Sep 12, 2024
In the rapidly evolving field of medical image analysis utilizing artificial intelligence (AI), the selection of appropriate computational models is critical for accurate diagnosis and patient care. This literature review provides a comprehensive com...
Generative AI in oncological imaging: Revolutionizing cancer detection and diagnosis.
Oncotarget
Sep 4, 2024
Generative AI is revolutionizing oncological imaging, enhancing cancer detection and diagnosis. This editorial explores its impact on expanding datasets, improving image quality, and enabling predictive oncology. We discuss ethical considerations and...
From code sharing to sharing of implementations: Advancing reproducible AI development for medical imaging through federated testing.
Journal of medical imaging and radiation sciences
Aug 29, 2024
BACKGROUND: The reproducibility crisis in AI research remains a significant concern. While code sharing has been acknowledged as a step toward addressing this issue, our focus extends beyond this paradigm. In this work, we explore "federated testing"...
Pilot deployment of a cloud-based universal medical image repository in a large public health system: A protocol study.
PloS one
Aug 29, 2024
This paper outlines the protocol for the deployment of a cloud-based universal medical image repository system. The proposal aims not only at the deployment but also at the automatic expansion of the platform, incorporating Artificial Intelligence (A...
Interactive dual-stream contrastive learning for radiology report generation.
Journal of biomedical informatics
Aug 28, 2024
Radiology report generation automates diagnostic narrative synthesis from medical imaging data. Current report generation methods primarily employ knowledge graphs for image enhancement, neglecting the interpretability and guiding function of the kno...
Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers.
Journal of medical imaging and radiation sciences
Aug 27, 2024
INTRODUCTION: Artificial Intelligence (AI) is increasingly implemented in medical imaging practice, however, its impact on radiographers practice is not well studied. The aim of this study was to explore the perceived impact of AI on radiographers' a...
2023 Industry Perceptions Survey on AI Adoption and Return on Investment.
Journal of imaging informatics in medicine
Aug 20, 2024
This SIIM-sponsored 2023 report highlights an industry view on artificial intelligence adoption barriers and success related to diagnostic imaging, life sciences, and contrasts. In general, our 2023 survey indicates that there has been progress in ad...
Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference.
Medical image analysis
Aug 19, 2024
A systematic review of few-shot learning in medical imaging.
Artificial intelligence in medicine
Aug 16, 2024
The lack of annotated medical images limits the performance of deep learning models, which usually need large-scale labelled datasets. Few-shot learning techniques can reduce data scarcity issues and enhance medical image analysis speed and robustnes...
Construction and Validation of a General Medical Image Dataset for Pretraining.
Journal of imaging informatics in medicine
Aug 15, 2024
In the field of deep learning for medical image analysis, training models from scratch are often used and sometimes, transfer learning from pretrained parameters on ImageNet models is also adopted. However, there is no universally accepted medical im...
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