AIMC Topic: Models, Anatomic

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Sports Economic Operation Index Prediction Model Based on Deep Learning and Ensemble Learning.

Computational intelligence and neuroscience Mar 28, 2022
In order to construct a prediction model of sports economic operation indicators, this paper combines deep learning and ensemble learning algorithms to integrate and improve the algorithms and analyzes the principles of the LightGBM ensemble learning...
Algorithms Models, Anatomic Reproducibility of Results Deep Learning Sports
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Measurement of Body Surface Area for Psoriasis Using U-net Models.

Computational and mathematical methods in medicine Feb 10, 2022
During the evaluation of body surface area (BSA), precise measurement of psoriasis is crucial for assessing disease severity and modulating treatment strategies. Physicians usually evaluate patients subjectively through direct visual evaluation. Howe...
Humans Neural Networks, Computer Machine Learning Body Surface Area Photography Models, Anatomic Computational Biology Psoriasis Computer Simulation Image Interpretation, Computer-Assisted Young Adult Adult
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Shape Prediction of Nasal Bones by Digital 2D-Photogrammetry of the Nose Based on Convolution and Back-Propagation Neural Network.

Computational and mathematical methods in medicine Jan 11, 2022
In rhinoplasty, it is necessary to consider the correlation between the anthropometric indicators of the nasal bone, so that it prevents surgical complications and enhances the patient's satisfaction. The penetrating form of high-energy electromagnet...
Middle Aged Image Processing, Computer-Assisted Computational Biology Young Adult Adult Male Models, Anatomic Rhinoplasty Nose Nasal Bone Surgery, Computer-Assisted Photogrammetry Anthropometry Humans Machine Learning Neural Networks, Computer Female
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Combined Feedback Feedforward Control of a 3-Link Musculoskeletal System Based on the Iterative Training Method.

BioMed research international Nov 8, 2021
The investigation and study of the limbs, especially the human arm, have inspired a wide range of humanoid robots, such as movement and muscle redundancy, as a human motor system. One of the main issues related to musculoskeletal systems is the joint...
Torque Arm Artifacts Humans Muscle, Skeletal Robotics Machine Learning Algorithms Elbow Shoulder Feedback Movement Models, Theoretical Models, Anatomic
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Causal decoding of individual cortical excitability states.

NeuroImage Oct 21, 2021
Brain responsiveness to stimulation fluctuates with rapidly shifting cortical excitability state, as reflected by oscillations in the electroencephalogram (EEG). For example, the amplitude of motor-evoked potentials (MEPs) elicited by transcranial ma...
Transcranial Magnetic Stimulation Cortical Excitability Electroencephalography Electromyography Models, Anatomic Humans Machine Learning Male Magnetic Resonance Imaging Female Young Adult
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Analysis of Stadium Operation Risk Warning Model Based on Deep Confidence Neural Network Algorithm.

Computational intelligence and neuroscience Jul 5, 2021
In this paper, a deep confidence neural network algorithm is used to design and deeply analyze the risk warning model for stadium operation. Many factors, such as video shooting angle, background brightness, diversity of features, and the relationshi...
Recognition, Psychology Skeleton Humans Neural Networks, Computer Algorithms Models, Anatomic
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Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology.

American journal of human genetics Jun 1, 2021
Genome-wide association studies (GWASs) require accurate cohort phenotyping, but expert labeling can be costly, time intensive, and variable. Here, we develop a machine learning (ML) model to predict glaucomatous optic nerve head features from color ...
Glaucoma, Open-Angle Optic Disk Fluorescein Angiography Models, Anatomic Risk Assessment Genome-Wide Association Study Datasets as Topic Machine Learning Phenotype Humans
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Asymmetric shape of distal phalanx of human finger improves precision grasping.

Scientific reports May 17, 2021
In morphology field, the functions of an asymmetric-shaped distal phalanx in human finger have only been inferred. In this study, we used an engineering approach to empirically examine the effects of the shape of distal phalanx on the ability of prec...
Equipment Design Hand Strength Fingers Humans Finger Phalanges Printing, Three-Dimensional Biomechanical Phenomena Models, Anatomic Robotics
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Automated Vision-Based Microsurgical Skill Analysis in Neurosurgery Using Deep Learning: Development and Preclinical Validation.

World neurosurgery Feb 12, 2021
BACKGROUND/OBJECTIVE: Technical skill acquisition is an essential component of neurosurgical training. Educational theory suggests that optimal learning and improvement in performance depends on the provision of objective feedback. Therefore, the aim...
Clinical Competence Microsurgery Neurosurgical Procedures Automation Models, Anatomic Neurosurgery Artificial Intelligence Simulation Training Video Recording Reproducibility of Results Deep Learning Humans
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Improving skeleton algorithm for helping Caenorhabditis elegans trackers.

Scientific reports Dec 17, 2020
One of the main problems when monitoring Caenorhabditis elegans nematodes (C. elegans) is tracking their poses by automatic computer vision systems. This is a challenge given the marked flexibility that their bodies present and the different poses th...
Skeleton Image Processing, Computer-Assisted Artificial Intelligence Caenorhabditis elegans Algorithms Models, Anatomic Animals
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