Becker's Hospital Review

AI for Quality and Efficiency in Radiology

AI for Quality and Efficiency in Radiology Artificial intelligence (AI) is increasingly being leveraged in radiology to ...
TMCnet

MicroCloud Hologram Inc. Develops Quantum-Enhanced Deep Convolutional Neural Network Image 3D Reconstruction Technology

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...
Medical Xpress

Deep learning system could transform skin cancer detection with near-perfect accuracy

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...
C&EN

Integrating Model-Based Reconstruction and Deep Learning for Accelerating Mass Spectrometry Imaging

Department of Bioengineering, University of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States Beckman Institute for Advanced Science and Technology, University of Illinois ...
IEEE

Low-Count PET Image Reconstruction with Generalized Sparsity Priors via Unrolled Deep Networks

Abstract: Deep learning has demonstrated remarkable efficacy in reconstructing low-count PET (Positron Emission Tomography) images, attracting considerable attention in the medical imaging community.
Frontiers

Multi-interactive feature embedding learning for medical image segmentation

1 School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China 2 School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ...
IEEE

HDN: Hybrid Deep-Learning and Non-Line-of-Sight Reconstruction Framework for Transcranial Photoacoustic Imaging of Human Brain

Abstract: Photoacoustic imaging combines the high contrast of optical imaging with the deep penetration depth of ultrasonic imaging, showing great potential in cerebrovascular disease detection.
Frontiers

Deep learning-based image reconstruction benefits diffusion tensor imaging for assessing severity of depression

Objective: This study aimed to evaluate whether deep learning-based image reconstruction (DLR) improves the accuracy of diffusion tensor imaging (DTI) measurements used to assess the severity of ...
News Medical

Deep learning method enhances vessel and plaque segmentation in stroke diagnosis

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...
Medical Xpress

New deep learning model enhances handheld 3D medical imaging

Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ultrasonic sound waves. The waves are sent into the body, and images are ...