AIMC Topic: Humans

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Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.

Medical physics Nov 8, 2018
PURPOSE: Precise segmentation of bladder walls and tumor regions is an essential step toward noninvasive identification of tumor stage and grade, which is critical for treatment decision and prognosis of patients with bladder cancer (BC). However, th...
Adult Male Middle Aged Female Aged Aged, 80 and over Image Processing, Computer-Assisted Magnetic Resonance Imaging Urinary Bladder Neoplasms Humans Neural Networks, Computer
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A machine learning texture model for classifying lung cancer subtypes using preliminary bronchoscopic findings.

Medical physics Nov 8, 2018
PURPOSE: Bronchoscopy is useful in lung cancer detection, but cannot be used to differentiate cancer types. A computer-aided diagnosis (CAD) system was proposed to distinguish malignant cancer types to achieve objective diagnoses.
Humans Machine Learning Female Aged Image Interpretation, Computer-Assisted Aged, 80 and over Adult Male Middle Aged Lung Neoplasms Bronchoscopy
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Response to Barry re: Learning Curves and Timing of Surgical Trials: Robotic Kidney Transplantation with Regional Hypothermia by Ahlawat et al. (From: Barry JM. J Endourolo 2018;32:1166; DOI: 1089/end.2018.0419).

Journal of endourology Nov 8, 2018
Hypothermia Humans Robotics Kidney Transplantation Robotic Surgical Procedures Learning Curve
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Statistical learning in computed tomography image estimation.

Medical physics Nov 8, 2018
PURPOSE: There is increasing interest in computed tomography (CT) image estimations from magnetic resonance (MR) images. The estimated CT images can be utilized for attenuation correction, patient positioning, and dose planning in diagnostic and radi...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Machine Learning
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CT sinogram-consistency learning for metal-induced beam hardening correction.

Medical physics Nov 8, 2018
PURPOSE: This paper proposes a sinogram-consistency learning method to deal with beam hardening-related artifacts in polychromatic computerized tomography (CT). The presence of highly attenuating materials in the scan field causes an inconsistent sin...
Metals Image Processing, Computer-Assisted Pelvis Artifacts Humans Machine Learning Tomography, X-Ray Computed
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Prediction of Farnesoid X Receptor Disruptors with Machine Learning Methods.

Chemical research in toxicology Nov 8, 2018
The farnesoid X receptor (FXR) emerges as a promising drug target involved in regulating various metabolic pathways, yet some xenobiotic compounds binding to FXR would be an important determinant to induce the receptor dysfunctions that lead to undes...
Area Under Curve Benzimidazoles Receptors, Cytoplasmic and Nuclear Xenobiotics Machine Learning Databases, Factual ROC Curve Humans
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Automatic prediction of intelligible speaking rate for individuals with ALS from speech acoustic and articulatory samples.

International journal of speech-language pathology Nov 8, 2018
: This research aimed to automatically predict intelligible speaking rate for individuals with Amyotrophic Lateral Sclerosis (ALS) based on speech acoustic and articulatory samples. Twelve participants with ALS and two normal subjects produced a tot...
Speech Production Measurement Speech Disorders Speech Recognition Software Middle Aged Aged Support Vector Machine Speech Intelligibility Adult Amyotrophic Lateral Sclerosis Speech Acoustics Male Humans Female
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More than just co-workers: Presence of humanoid robot co-worker influences human performance.

PloS one Nov 8, 2018
Does the presence of a robot co-worker influence the performance of humans around it? Studies of motor contagions during human-robot interactions have examined either how the observation of a robot affects a human's movement velocity, or how it affec...
Work Performance Humans Arm Adult Female Male Movement Young Adult Robotics Behavior Observation Techniques
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Fully tuned RBF neural network controller for ultrasound hyperthermia cancer tumour therapy.

Network (Bristol, England) Nov 8, 2018
Thermal dose is an important clinical efficacy index for hyperthermia cancer treatment. This paper presents a new direct radial basis function (RBF) neural network controller for high-temperature hyperthermia thermal dose during the therapeutic proce...
Ultrasonic Therapy Nerve Net Transducers Humans Algorithms Energy Transfer Neural Networks, Computer Computer Simulation Neoplasms
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Learning Curve in Robot-Assisted Laparoscopic Liver Resection.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Nov 7, 2018
BACKGROUND: The objective of this study was to evaluate the learning curve effect on the safety and feasibility of robot-assisted liver resection (RALR).
Postoperative Period Learning Curve Humans Female Aged Liver Neoplasms Young Adult Carcinoma, Hepatocellular Adolescent Operative Time Adult Robotics Feasibility Studies Child, Preschool Male Laparoscopy Hepatectomy Child Middle Aged
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