AIMC Topic: Tongue

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Localizing category-related information in speech with multi-scale analyses.

PloS one
Measurements of the physical outputs of speech-vocal tract geometry and acoustic energy-are high-dimensional, but linguistic theories posit a low-dimensional set of categories such as phonemes and phrase types. How can it be determined when and where...

Two-phase non-invasive multi-disease detection via sublingual region.

Computers in biology and medicine
Non-invasive multi-disease detection is an active technology that detects human diseases automatically. By observing images of the human body, computers can make inferences on disease detection based on artificial intelligence and computer vision tec...

A bionic soft tongue driven by shape memory alloy and pneumatics.

Bioinspiration & biomimetics
Soft grippers have exhibited considerable advantages owing to their flexible deformation, compliant operation, and safe interaction with objects. The ability to grip solid and liquid objects can greatly expand the application range of the soft grippe...

Continuous Tongue Robot Mapping for Paralyzed Individuals Improves the Functional Performance of Tongue-Based Robotic Assistance.

IEEE transactions on bio-medical engineering
Individuals with tetraplegia have a challenging life due to a lack of independence and autonomy. Assistive robots have the potential to assist with the activities of daily living and thus improve the quality of life. However, an efficient and reliabl...

Vascularity Outcomes of Lingual Artery Ligation in Transoral Robotic Base of Tongue Resections.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
To explore the effect of lingual artery ligation on tongue vascularity, we performed an analysis of 25 patients who underwent transoral robotic surgery for base of tongue cancers (May 2011 to December 2019). Hounsfield units of the intrinsic muscles ...

Fully-channel regional attention network for disease-location recognition with tongue images.

Artificial intelligence in medicine
OBJECTIVE: Using the deep learning model to realize tongue image-based disease location recognition and focus on solving two problems: 1. The ability of the general convolution network to model detailed regional tongue features is weak; 2. Ignoring t...

Tongue image quality assessment based on a deep convolutional neural network.

BMC medical informatics and decision making
BACKGROUND: Tongue diagnosis is an important research field of TCM diagnostic technology modernization. The quality of tongue images is the basis for constructing a standard dataset in the field of tongue diagnosis. To establish a standard tongue ima...

E-sensing and nanoscale-sensing devices associated with data processing algorithms applied to food quality control: a systematic review.

Critical reviews in food science and nutrition
Devices of human-based senses such as e-noses, e-tongues and e-eyes can be used to analyze different compounds in several food matrices. These sensors allow the detection of one or more compounds present in complex food samples, and the responses obt...

A deep cascaded segmentation of obstructive sleep apnea-relevant organs from sagittal spine MRI.

International journal of computer assisted radiology and surgery
PURPOSE: The main purpose of this work was to develop an efficient approach for segmentation of structures that are relevant for diagnosis and treatment of obstructive sleep apnea syndrome (OSAS), namely pharynx, tongue, and soft palate, from mid-sag...

Tongue Tumor Detection in Hyperspectral Images Using Deep Learning Semantic Segmentation.

IEEE transactions on bio-medical engineering
OBJECTIVE: The utilization of hyperspectral imaging (HSI) in real-time tumor segmentation during a surgery have recently received much attention, but it remains a very challenging task.