Orthopedics

Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques.

The main objective of this work is to establish a framework for processing and evaluating the lower ...

Deep Learning Neural Modelling as a Precise Method in the Assessment of the Chronological Age of Children and Adolescents Using Tooth and Bone Parameters.

Dental age is one of the most reliable methods for determining a patient's age. The timing of teethi...

Artificial intelligence in orthopedics: three strategies for deep learning with orthopedic specific imaging.

Automated selection of mid-height intervertebral disc slice in traverse lumbar spine MRI using a combination of deep learning feature and machine learning classifier.

Abnormalities and defects that can cause lumbar spinal stenosis often occur in the Intervertebral Di...

Feedforward backpropagation artificial neural networks for predicting mechanical responses in complex nonlinear structures: A study on a long bone.

Feedforward backpropagation artificial neural networks (ANNs) have been increasingly employed in man...

Automated Classification of Rheumatoid Arthritis, Osteoarthritis, and Normal Hand Radiographs with Deep Learning Methods.

Rheumatoid arthritis and hand osteoarthritis are two different arthritis that causes pain, function ...

Artificial Intelligence Class Activation Mapping of Bone Age.

Shape Prediction of Nasal Bones by Digital 2D-Photogrammetry of the Nose Based on Convolution and Back-Propagation Neural Network.

In rhinoplasty, it is necessary to consider the correlation between the anthropometric indicators of...

Bone suppression on pediatric chest radiographs via a deep learning-based cascade model.

BACKGROUND AND OBJECTIVE: Bone suppression images (BSIs) of chest radiographs (CXRs) have been prove...

A Study on 3D Deep Learning-Based Automatic Diagnosis of Nasal Fractures.

This paper reported a study on the 3-dimensional deep-learning-based automatic diagnosis of nasal fr...

Constraint of musculoskeletal tissue and path planning of robot-assisted fracture reduction with collision avoidance.

BACKGROUND: For the robot-assisted fracture reduction, due to the complex fracture musculoskeletal e...

GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation.

In this paper, we propose a geometric neural network with edge-aware refinement (GeoNet++) to jointl...

P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization.

This paper proposes an end-to-end fine-grained visual categorization system, termed Part-based Convo...

An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization.

Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and caused comp...

Automated segmentation of articular disc of the temporomandibular joint on magnetic resonance images using deep learning.

Temporomandibular disorders are typically accompanied by a number of clinical manifestations that in...

Computational identification of 4-carboxyglutamate sites to supplement physiological studies using deep learning.

In biological systems, Glutamic acid is a crucial amino acid which is used in protein biosynthesis. ...

Research on Teaching Resource Recommendation Algorithm Based on Deep Learning and Cognitive Diagnosis.

With the increasing abundance of network teaching resources, the recommendation technology based on ...

E-Commerce Credit Risk Assessment Based on Fuzzy Neural Network.

In this paper, we propose a cooperative strategy-based self-organization mechanism to reconstruct th...

Analysis of tendon tension and hysteresis by tendon twisting and development of anti-twist tendon mechanism of robotic surgical instruments.

BACKGROUND: Control of the joints of robotic surgical instruments is difficult owing to hysteresis, ...

Development of a multi-stage model for intelligent and quantitative appraising of skeletal maturity using cervical vertebras cone-beam CT images of Chinese girls.

PURPOSE: Nowadays, the integration of Artificial intelligence algorithms and quantified radiographic...

Verte-Box: A Novel Convolutional Neural Network for Fully Automatic Segmentation of Vertebrae in CT Image.

Due to the complex shape of the vertebrae and the background containing a lot of interference inform...