Results 1 to 10 of about 12,432,034 (314)

The Environmental Impact of Medical Imaging Agents and the Roadmap to Sustainable Medical Imaging [PDF]

Advanced Science
Medical imaging agents, i.e., contrast agents for magnetic resonance imaging (MRI) and radiopharmaceuticals, play a vital role in the diagnosis of diseases.
Verena Pichler, Ricardo P. Martinho, Lisanne Temming, Tim Segers, Frederik R. Wurm, Olga Koshkina   +5 more
doaj   +2 more sources

The “Gatekeepers” of Medical Imaging [PDF]

Indian Journal of Radiology and Imaging
Shyamkumar N. Keshava, Binit Sureka
doaj   +2 more sources

Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review [PDF]

Journal of Imaging, 2023
Deep learning has become a popular tool for medical image analysis, but the limited availability of training data remains a major challenge, particularly in the medical field where data acquisition can be costly and subject to privacy regulations.
Aghiles Kebaili, J. Lapuyade-Lahorgue, S. Ruan   +2 more
semanticscholar   +1 more source

A Review of Uncertainty Estimation and its Application in Medical Imaging [PDF]

Meta-Radiology, 2023
The use of AI systems in healthcare for the early screening of diseases is of great clinical importance. Deep learning has shown great promise in medical imaging, but the reliability and trustworthiness of AI systems limit their deployment in real ...
K. Zou, Zhihao Chen, Xuedong Yuan, Xiaojing Shen, Meng Wang, H. Fu   +5 more
semanticscholar   +1 more source

Implicit Neural Representation in Medical Imaging: A Comparative Survey [PDF]

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023
Implicit neural representations (INRs) have gained prominence as a powerful paradigm in scene reconstruction and computer graphics, demonstrating remarkable results. By utilizing neural networks to parameterize data through implicit continuous functions,
Amir Molaei, Amirhossein Aminimehr, A. Tavakoli, A. Kazerouni, Babak Azad, Reza Azad, D. Merhof   +6 more
semanticscholar   +1 more source

Guideline for imaging diagnosis of novel coronavirus (2019-ncov) infected pneumonia (1st edition 2020) [PDF]

Yixue xinzhi zazhi, 2020
Without the.
People's medical publishing House, Committee of the Infectious Diseases Radiology Group of Chinese Society of Radiology, Committee of the Infectious Diseases Radiology Section of Chinese Medical Doctor Association, Infectious Disease Imaging Group, Infectious Disease Branch, Chinese Research Hospital Association, Imaging Committee of Chinese Association for the Prevention and Treatment of STD AIDS Infection (Infectious Disease), Infectious Diseases Group, General Radiological Equipment Committee, China Association of Medical Equipment, Beijing Imaging Diagnosis and Treatment Technology Innovation Alliance   +10 more
doaj   +1 more source

Chongqing expert consensus on radiological examination and diagnostic criteria for SARS-CoV-2 lung infection

陆军军医大学学报, 2023
As the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continued to spread and mutate, our national epidemic prevention and control has entered a new stage since November 2022, and the Diagnosis and Treatment Protocol for SARS-CoV-2 ...
Cardiothoracic Group of Radiology Branch of Chongqing Medical Association, Chongqing Quality Control Center for Medical Imaging
doaj   +1 more source

Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains [PDF]

arXiv.org, 2022
Multi-modal foundation models are typically trained on millions of pairs of natural images and text captions, frequently obtained through web-crawling approaches.
P. Chambon, Christian Blüthgen, C. Langlotz, Akshay Chaudhari   +3 more
semanticscholar   +1 more source

A Study of CNN and Transfer Learning in Medical Imaging: Advantages, Challenges, Future Scope

Sustainability, 2023
This paper presents a comprehensive study of Convolutional Neural Networks (CNN) and transfer learning in the context of medical imaging. Medical imaging plays a critical role in the diagnosis and treatment of diseases, and CNN-based models have ...
A. Salehi, Shakir Khan, Gaurav Gupta, B. Alabduallah, Abrar Almjally, Hadeel Alsolai, Tamanna Siddiqui, A. Mellit   +7 more
semanticscholar   +1 more source

How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications

Bioengineering, 2023
The integration of artificial intelligence (AI) into medical imaging has guided in an era of transformation in healthcare. This literature review explores the latest innovations and applications of AI in the field, highlighting its profound impact on ...
Luís Pinto-Coelho
semanticscholar   +1 more source