AIMC Topic: Larynx

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Optical Biopsy: Automated Classification of Airway Endoscopic Findings Using a Convolutional Neural Network.

The Laryngoscope Apr 28, 2020
OBJECTIVES/HYPOTHESIS: Create an autonomous computational system to classify endoscopy findings.
Image Interpretation, Computer-Assisted Laryngoscopy Laryngeal Neoplasms Laryngeal Diseases Larynx Humans Neural Networks, Computer Artificial Intelligence Machine Learning Biopsy
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Fully automatic segmentation of glottis and vocal folds in endoscopic laryngeal high-speed videos using a deep Convolutional LSTM Network.

PloS one Feb 10, 2020
The objective investigation of the dynamic properties of vocal fold vibrations demands the recording and further quantitative analysis of laryngeal high-speed video (HSV). Quantification of the vocal fold vibration patterns requires as a first step t...
Image Interpretation, Computer-Assisted Databases as Topic Vocal Cords Larynx Glottis Endoscopy Time Factors Anatomic Landmarks Humans Video Recording Neural Networks, Computer Algorithms Female Adult
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Deep Learning-Based Delineation of Head and Neck Organs at Risk: Geometric and Dosimetric Evaluation.

International journal of radiation oncology, biology, physics Mar 2, 2019
PURPOSE: Organ-at-risk (OAR) delineation is a key step in treatment planning but can be time consuming, resource intensive, subject to variability, and dependent on anatomical knowledge. We studied deep learning (DL) for automated delineation of mult...
Humans Larynx Submandibular Gland Brain Stem Esophageal Sphincter, Upper Mouth Deep Learning Parotid Gland Head and Neck Neoplasms Organs at Risk Esophagus Radiotherapy Planning, Computer-Assisted Benchmarking Pharyngeal Muscles
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A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation.

International journal of computer assisted radiology and surgery Jan 16, 2019
PURPOSE: Automated segmentation of anatomical structures in medical image analysis is a prerequisite for autonomous diagnosis as well as various computer- and robot-aided interventions. Recent methods based on deep convolutional neural networks (CNN)...
Semantics Vocal Cords Laryngoscopy Larynx Humans Neural Networks, Computer Machine Learning Endoscopy Image Processing, Computer-Assisted
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A Survey on Machine Learning Approaches for Automatic Detection of Voice Disorders.

Journal of voice : official journal of the Voice Foundation Oct 11, 2018
The human voice production system is an intricate biological device capable of modulating pitch and loudness. Inherent internal and/or external factors often damage the vocal folds and result in some change of voice. The consequences are reflected in...
Larynx Voice Quality Humans Predictive Value of Tests Machine Learning Acoustics Reproducibility of Results Pattern Recognition, Automated Diagnosis, Computer-Assisted Wavelet Analysis Voice Disorders
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Transoral surgery using the Flex Robotic System: Initial experience in the United States.

Head & neck Oct 10, 2018
BACKGROUND: This multicenter, retrospective review documents the initial experience using the Flex system for transoral surgery in 2 United States academic centers.
Academic Medical Centers Natural Orifice Endoscopic Surgery Learning Curve Larynx Glottis Robotic Surgical Procedures Mouth Pharynx Tongue Risk Assessment Postoperative Complications Length of Stay Clinical Competence Cohort Studies United States Treatment Outcome Robotics Equipment Design Female Aged Adult Male Middle Aged Humans Retrospective Studies
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Quantification and Analysis of Laryngeal Closure From Endoscopic Videos.

IEEE transactions on bio-medical engineering Aug 29, 2018
OBJECTIVE: At present, there are no objective techniques to quantify and describe laryngeal obstruction, and the reproducibility of subjective manual quantification methods is insufficient, resulting in diagnostic inaccuracy and a poor signal-to-nois...
Larynx Reproducibility of Results Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Signal Processing, Computer-Assisted Video Recording Laryngoscopy
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Encoding of Articulatory Kinematic Trajectories in Human Speech Sensorimotor Cortex.

Neuron May 17, 2018
When speaking, we dynamically coordinate movements of our jaw, tongue, lips, and larynx. To investigate the neural mechanisms underlying articulation, we used direct cortical recordings from human sensorimotor cortex while participants spoke natural ...
Speech Models, Neurological Epilepsy Tongue Phonetics Electrocorticography Larynx Lip Jaw Neural Networks, Computer Female Humans Sensorimotor Cortex Adult Biomechanical Phenomena Middle Aged
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Using Machine Learning and a Combination of Respiratory Flow, Laryngeal Motion, and Swallowing Sounds to Classify Safe and Unsafe Swallowing.

IEEE transactions on bio-medical engineering Feb 19, 2018
OBJECTIVE: The aim of this research was to develop a swallowing assessment method to help prevent aspiration pneumonia. The method uses simple sensors to monitor swallowing function during an individual's daily life.
Humans Deglutition Disorders Machine Learning Deglutition Male Aged Female Larynx Aged, 80 and over Middle Aged Young Adult Monitoring, Physiologic Adult Signal Processing, Computer-Assisted Respiration
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A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms.

Artificial intelligence in medicine Oct 30, 2015
OBJECTIVE: This work presents a computer-based approach to analyze the two-dimensional vocal fold dynamics of endoscopic high-speed videos, and constitutes an extension and generalization of a previously proposed wavelet-based procedure. While most a...
Larynx Time Factors Voice Disorders Video Recording Adult Laryngoscopy Humans Support Vector Machine Image Interpretation, Computer-Assisted Vibration Voice Quality Predictive Value of Tests Principal Component Analysis Phonation Pattern Recognition, Automated Biomechanical Phenomena Male Middle Aged Case-Control Studies Wavelet Analysis Vocal Cords Female Reproducibility of Results Aged
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