Analysis of Clinical Value of Weight-Bearing Magnetic Resonance Diagnosis of Ankle Ligament Sports Injury

Hong-mei, QI; Feng, Yusheng

doi:10.1109/access.2020.2983992

Cited by 4 publications

(2 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All of the models have been trained and tested extensively, and they make use of a variety of machine learning methods and hyperparameter tuning. The kappa score measurements play a critical role in helping us choose the best model [25]. An external user can then utilize the application's back end to detect cracks using the information provided by the models.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Advanced Deep Learning Approaches for the Multiple Bone Fracture detection

Lydia¹,

Kumar

Rao³

2023

Preprint

View full text Add to dashboard Cite

An immediate requirement in modern medicine is for computer-aided detection and diagnosis of bone fractures. Radiologists can save time and work more efficiently as a result. In the past, numerous different image processing methods were utilized to spot bone breaks. In the field of medical image processing, deep learning models in the form of specialized convolutional neural networks are currently in widespread usage. Its scope is broadened to include bone fracture detection in X-Ray images. The severity of injuries can be estimated by extracting information such as the presence of fractures, their locations, and the distances in length, width, and depth between the broken bones in an automated method. We present methods for identifying bone fractures in diagnostic imaging. The major objective is to use multiple deep learning models to detect these cracks. Patients' elbow, hand, and foot X-rays are separated into their own categories in the dataset. The proposed system analyzes or diagnoses the output using frame difference and a data analytics approach. All models have their feature extraction handled by the proposed method. Because it double-checks feature extractions, it rarely fails to detect a fracture. The proposed system is worn on the hand's wrist. This software tells users the state of their fractures once they answer a few simple questions and upload an X-ray. The image is subsequently processed by the application's built-in models, with all results (whether or not a fracture was identified) shown in the user interface. Python scripts are incorporated into the application's C#-based Dotnet framework. Better sensitivity and specificity are achieved, with an overall accuracy of 89%. Correct diagnosis is crucial since wrong diagnoses can have devastating effects on patients.

show abstract

Section: Methodsmentioning

confidence: 99%

Analysis of Advanced Deep Learning Approaches for the Multiple Bone Fracture detection

Lydia¹,

Kumar

Rao³

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…At present, it is believed that fibroblasts are a kind of "pluripotent cells," which have different migration rates, adhesion, proliferation, and collagen synthesis capabilities in different tissues, but whether they can effectively repair in the environment of joint fluid is still controversial. Since the autologous patellar tendon graft still undergoes a process of necrosis and strength weakening after transplantation, let alone fibroblasts, therefore, it is not suitable as a seed cell [3,4]. The purpose of this paper is to evaluate the tissue engineering properties of nanomaterials and their performance in the repair of ligament injury in sports dance sports, in order to make a certain contribution to the repair of ligament injury.…”

Section: Introductionmentioning

confidence: 99%

Tissue Engineering Properties of Nanomaterials and Their Performance Evaluation for Repairing Athletic Ligament Injuries in Sports Dance

Niu

Yan

2022

Journal of Nanomaterials

View full text Add to dashboard Cite

With the fast growth of nanotechnology, the usage of nuclear materials is becoming increasingly widespread, and the exposure of people, plants, and fauna to nanomaterials has become unavoidable. As scaffolds of biomaterials, nanomaterials are widely used in tissue engineering because of their good biocompatibility, noncytotoxicity, and noninflammatory reaction. In this paper, the tissue engineering properties of nanomaterials and their performance evaluation for repairing sports ligament injuries in dance sports were investigated. Sports ligament injury is a common sports disease, and ligament injury has a very serious impact on sports performance and sports life of athletes. In this paper, we takes football as an example, establishes a human body model of tendon-bone repair after anterior cruciate ligament reconstruction, evaluated the effect of injectable rhBMP-2 nanocontrolled release capsule on ligament bone tunnel interface repair, and evaluated from the scientific and biomechanical point of view. In addition, human ligament research and rabbit ligament supplementary experiment were carried out. In the study of human ligament, we selected 30 patients with unilateral polyarticular ligament injury caused by sports dance as the research subjects and randomly divided them into control group, experimental group, and blank group. The experimental group underwent the repair and reconstruction of rhBMP-2 nanocontrolled release capsule ligament. The results of human ligament study showed that the injectable rhBMP-2 nanocontrolled release capsules showed positive staining and uniform staining for ligament repair. The stiffness of the tender bony temple junction was 11.73%, 15.65%, and 50.59% greater in the test group than in the control group at 2, 4, and 8 weeks postoperatively, respectively.

show abstract

Prediction simulation of sports injury based on embedded system and neural network

Shen

2021

Microprocessors and Microsystems

View full text Add to dashboard Cite

Analysis of Clinical Value of Weight-Bearing Magnetic Resonance Diagnosis of Ankle Ligament Sports Injury

Cited by 4 publications

References 47 publications

Analysis of Advanced Deep Learning Approaches for the Multiple Bone Fracture detection

Analysis of Advanced Deep Learning Approaches for the Multiple Bone Fracture detection

Tissue Engineering Properties of Nanomaterials and Their Performance Evaluation for Repairing Athletic Ligament Injuries in Sports Dance

Prediction simulation of sports injury based on embedded system and neural network

Contact Info

Product

Resources

About