Comparing the detectability of pulmonary nodules on two ultra-high resolution CT scanners: a preliminary phantom study. [PDF]
Greffier J +10 more
europepmc +1 more source
Eye-Tracked Visual Attention to Anthropomorphic Appearance and Empathic Responses in AI Medical Conversational Agents: Dissociating Trust Gains from Attentional Synergy. [PDF]
Ouyang W, Du H, Han Y, Wang Z, He Y.
europepmc +1 more source
Using a Physics-Based Approach to Standardize Radiomics Values: Experimental Validation in an Anthropomorphic Phantom on a Clinical CT Scanner Using a Range of Dose Levels and Reconstruction Kernels. [PDF]
Din H +5 more
europepmc +1 more source
Implant-friendly MRI of deep brain stimulation patients at 3T. [PDF]
Zulkarnain NIH +4 more
europepmc +1 more source
Six misconceptions about large language models: A minimal model and diagnostic taxonomy. [PDF]
Lin Z.
europepmc +1 more source
The image ratios for designing cute nonhuman anthropomorphic characters
Cheih-Ying Chen, Xu-Qin Zhunag
exaly +3 more sources
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An anthropomorphic torso section phantom for ultrasonic imaging
Medical Physics, 1980Using stable materials capable of mimicking any soft tissues of the human body—quantitatively with respect to speed of sound, density, and attenuation coefficient and semiquantitatively with respect to scatter—we have constructed a torso section phantom containing simulated bowel gas, kidney, kidney fat pad, liver, tumor, cyst, bony structures, and ...
E L, Madsen +2 more
openaire +2 more sources
An Anthropomorphic Breast Model for Breast Imaging Simulation and Optimization
Academic Radiology, 2011Optimization studies for x-ray-based breast imaging systems using computer simulation can greatly benefit from a phantom capable of modeling varying anatomical variability across different patients. This study aimed to develop a three-dimensional phantom model with realistic and randomizable anatomical features.A voxelized breast model was developed ...
Baiyu, Chen +6 more
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Anthropomorphic ResNet18 for multi-vendor DBT image quality evaluation
Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, 2020Purpose: This work aims to develop an anthropomorphic convolutional neural network (CNN) classifier, based on the ResNet18 deep learning network and validate it for task based image quality evaluation of digital breast tomosynthesis (DBT) using a structured phantom with non-spiculated mass simulating lesions. Methods: The phantom is constructed from an
Dimitar Petrov +4 more
openaire +2 more sources
Anthropomorphic contour as a priori information in microwave breast imaging
2023 IEEE Conference on Antenna Measurements and Applications (CAMA), 2023This work proves that qualitative imaging using induced current distribution could be used to perform microwave imaging of a realistic MRI-based breast phantom. Improvement of the spatial resolution is achieved by applying the Gerchberg-Papoulis algorithm associated with an anthropomorphic contour.
Diès, Ambroise +2 more
openaire +1 more source

