Detection of bone fracture in upper extremities using visual geometric group-19 and compare the accuracy with CNN

The aim of this research paper is to compare the accuracy of a novel Visual Geometry Group-19 deep learning model and a CNN in order to detect bone fractures in the upper extremity regions of the hands. The two groups involved in this investigation are the Novel Visual Geometry Group-19 deep learnin...

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Bibliographische Detailangaben

Hauptverfasser:	Veronica, M. Y. T., Pramila, P. V., Divya, K., Selvaperumal, S. K., Venu, D.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Confidence intervals Datasets Deep learning Fractures Geometry Group theory Machine learning Statistical analysis X-rays
Online-Zugang:	Volltext
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