AIMC Topic: Tomography

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Artificial skin through super-sensing method and electrical impedance data from conductive fabric with aid of deep learning.

Scientific reports Jun 20, 2019
Sense of touch is a major part of man's communication with their environment. Artificial skins can help robots to have the same sense of touch, especially for their social interactions. This paper presents a pressure mapping sensing using piezo-resis...
Tomography Skin, Artificial Textiles Electric Conductivity Touch Perception Humans Algorithms Deep Learning Robotics Electric Impedance
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A Partially-Learned Algorithm for Joint Photo-acoustic Reconstruction and Segmentation.

IEEE transactions on medical imaging Jun 10, 2019
In an inhomogeneously illuminated photoacoustic image, important information like vascular geometry is not readily available, when only the initial pressure is reconstructed. To obtain the desired information, algorithms for image segmentation are of...
Phantoms, Imaging Photoacoustic Techniques Tomography Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Dominant-Current Deep Learning Scheme for Electrical Impedance Tomography.

IEEE transactions on bio-medical engineering Jan 9, 2019
OBJECTIVE: Deep learning has recently been applied to electrical impedance tomography (EIT) imaging. Nevertheless, there are still many challenges that this approach has to face, e.g., targets with sharp corners or edges cannot be well recovered when...
Humans Lung Tomography Heart Deep Learning Electric Impedance Image Processing, Computer-Assisted Phantoms, Imaging
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Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence.

American journal of ophthalmology Aug 9, 2018
PURPOSE: To improve the detection of corneal ectasia susceptibility using tomographic data.
Keratoconus Corneal Topography Diagnostic Techniques, Ophthalmological Case-Control Studies ROC Curve Slit Lamp Microscopy Keratomileusis, Laser In Situ Tomography Corneal Pachymetry Adult Sensitivity and Specificity Dilatation, Pathologic Cornea Male Middle Aged Artificial Intelligence Retrospective Studies Female Humans
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Classification of Whole Mammogram and Tomosynthesis Images Using Deep Convolutional Neural Networks.

IEEE transactions on nanobioscience Jun 7, 2018
Mammography is the most popular technology used for the early detection of breast cancer. Manual classification of mammogram images is a hard task because of the variability of the tumor. It yields a noteworthy number of patients being called back to...
Tomography Neural Networks, Computer Female Breast Neoplasms Humans Imaging, Three-Dimensional Mammography Image Interpretation, Computer-Assisted
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Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks.

IEEE transactions on medical imaging Apr 27, 2018
The mathematical problem for electrical impedance tomography (EIT) is a highly nonlinear ill-posed inverse problem requiring carefully designed reconstruction procedures to ensure reliable image generation. D-bar methods are based on a rigorous mathe...
Humans Fourier Analysis Algorithms Lung Tomography Computer Simulation Radiography, Thoracic Deep Learning Phantoms, Imaging Electric Impedance
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Stroke localization and classification using microwave tomography with k-means clustering and support vector machine.

Bioelectromagnetics Mar 25, 2018
For any chance for stroke patients to survive, the stroke type should be classified to enable giving medication within a few hours of the onset of symptoms. In this paper, a microwave-based stroke localization and classification framework is proposed...
Stroke Microwaves Tomography Support Vector Machine Cluster Analysis Image Processing, Computer-Assisted
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A novel post-processing scheme for two-dimensional electrical impedance tomography based on artificial neural networks.

PloS one Dec 5, 2017
OBJECTIVE: Electrical Impedance Tomography (EIT) is a powerful non-invasive technique for imaging applications. The goal is to estimate the electrical properties of living tissues by measuring the potential at the boundary of the domain. Being safe w...
Tomography Neural Networks, Computer Humans Electric Impedance Phantoms, Imaging
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Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning.

Scientific reports Jul 27, 2017
Identification of lymphocyte cell types are crucial for understanding their pathophysiological roles in human diseases. Current methods for discriminating lymphocyte cell types primarily rely on labelling techniques with magnetic beads or fluorescenc...
Animals Refractometry Lymphocyte Activation Mice Tomography Machine Learning Single-Cell Analysis Mice, Inbred C57BL Lymphocytes
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On the influence of spread constant in radial basis networks for electrical impedance tomography.

Physiological measurement May 20, 2016
Electrical impedance tomography (EIT) is a non-invasive imaging technique. The main task of this work is to solve a non-linear inverse problem, for which several techniques have been suggested, but none of which gives a very high degree of accuracy. ...
Tomography Image Processing, Computer-Assisted Neural Networks, Computer Electric Impedance Computer Simulation Phantoms, Imaging
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