AIMC Topic: Diagnostic Imaging
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Enhancing 3D human pose estimation with NIR single-pixel imaging and time-of-flight technology: a deep learning approach.
Journal of the Optical Society of America. A, Optics, image science, and vision
Mar 1, 2024
The extraction of 3D human pose and body shape details from a single monocular image is a significant challenge in computer vision. Traditional methods use RGB images, but these are constrained by varying lighting and occlusions. However, cutting-edg...
Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals.
Korean journal of radiology
Mar 1, 2024
The emergence of Chat Generative Pre-trained Transformer (ChatGPT), a chatbot developed by OpenAI, has garnered interest in the application of generative artificial intelligence (AI) models in the medical field. This review summarizes different gener...
PXPermute reveals staining importance in multichannel imaging flow cytometry.
Cell reports methods
Feb 26, 2024
Imaging flow cytometry (IFC) allows rapid acquisition of numerous single-cell images per second, capturing information from multiple fluorescent channels. However, the traditional process of staining cells with fluorescently labeled conjugated antibo...
Looking to the Future of Early Detection in Cancer: Liquid Biopsies, Imaging, and Artificial Intelligence.
Clinical chemistry
Jan 4, 2024
Zogala D. Artificial intelligence in medical imaging.
Casopis lekaru ceskych
Jan 1, 2024
The current era witnesses a highly dynamic development of Artificial Intelligence (AI) applications, impacting various human activities. Medical imaging techniques are no exception. AI can find application in image acquisition, image processing and a...
Deep-KEDI: Deep learning-based zigzag generative adversarial network for encryption and decryption of medical images.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: Medical imaging techniques have improved to the point where security has become a basic requirement for all applications to ensure data security and data transmission over the internet. However, clinical images hold personal and sensitive...
A novel deep learning technique for medical image analysis using improved optimizer.
Health informatics journal
Jan 1, 2024
Application of Convolutional neural network in spectrum of Medical image analysis are providing benchmark outputs which converges the interest of many researchers to explore it in depth. Latest preprocessing technique Real ESRGAN (Enhanced super reso...
Preface: Artificial Intelligence and the Revolution of Oncological Imaging.
Critical reviews in oncogenesis
Jan 1, 2024
Chapter 9. Return to the revision of the bioethics law regarding the use of artificial intelligence in the field of medical imaging.
Journal international de bioethique et d'ethique des sciences
Jan 1, 2024
On the occasion of the sixth AI international Summit (November 22-24, 2023), Professor Daniel Rueckert (Technical University of Munich) replies to our questions on ethical issues raised by the use of artificial intelligence in medical imaging.
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