Phantoms, Imaging - AI Medical Compendium

[Image reconstruction for cerebral hemorrhage based on improved densely-connected fully convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2024

Cerebral hemorrhage is a serious cerebrovascular disease with high morbidity and high mortality, for which timely diagnosis and treatment are crucial. Electrical impedance tomography (EIT) is a functional imaging technique which is able to detect abn...

Image Processing, Computer-Assisted Cerebral Hemorrhage Electric Impedance Phantoms, Imaging Tomography Humans Neural Networks, Computer Brain Convolutional Neural Networks

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A Spatial Registration Method Based on Point Cloud and Deep Learning for Augmented Reality Neurosurgical Navigation.

The international journal of medical robotics + computer assisted surgery : MRCAS Dec 1, 2024

BACKGROUND: In order to achieve spatial registration for surgical navigation, a spatial registration method based on point cloud and deep learning is proposed.

Humans Phantoms, Imaging Neurosurgical Procedures Neural Networks, Computer Imaging, Three-Dimensional Algorithms Cloud Computing Augmented Reality Image Processing, Computer-Assisted Deep Learning Neuronavigation Surgery, Computer-Assisted Robotic Surgical Procedures

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Phantom evaluation of feasibility and applicability of artificial intelligence based pulmonary nodule detection in chest radiographs.

Medicine Nov 22, 2024

The aim of our study was to evaluate the specific performance of an artificial intelligence (AI) algorithm for lung nodule detection in chest radiography for a larger number of nodules of different sizes and densities using a standardized phantom app...

Radiography, Thoracic Phantoms, Imaging Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Artificial Intelligence Algorithms Tomography, X-Ray Computed Sensitivity and Specificity Lung Neoplasms Multiple Pulmonary Nodules Humans

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Robotically steerable intraluminal imaging probe with side-viewing 3D photoacoustic computed tomography.

Optics letters Nov 1, 2024

This Letter presents, for the first time to our knowledge, a continuum robotic-steered endoluminal volumetric photoacoustic tomography probe. With regard to the design of the probe, a coaxial optical and acoustic imaging system has been developed tha...

Humans Equipment Design Phantoms, Imaging Photoacoustic Techniques Tomography, X-Ray Computed Imaging, Three-Dimensional Robotics Transducers

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Deep Learning-Based Reconstruction Algorithm With Lung Enhancement Filter for Chest CT: Effect on Image Quality and Ground Glass Nodule Sharpness.

Korean journal of radiology Sep 1, 2024

OBJECTIVE: To assess the effect of a new lung enhancement filter combined with deep learning image reconstruction (DLIR) algorithm on image quality and ground-glass nodule (GGN) sharpness compared to hybrid iterative reconstruction or DLIR alone.

Phantoms, Imaging Tomography, X-Ray Computed Radiographic Image Enhancement Signal-To-Noise Ratio Deep Learning Radiography, Thoracic Lung Neoplasms Solitary Pulmonary Nodule Humans Radiographic Image Interpretation, Computer-Assisted Algorithms Radiation Dosage

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