Automated detection of scaphoid fractures using deep neural networks in radiographs

Author:

Singh Amanpreet,Ardakani Ali Abbasian,Loh Hui WenORCID,Anamika P.V.,Acharya U. Rajendra,Kamath Sidharth,Bhat Anil K.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference33 articles.

1. COVID-AleXception: A deep learning model based on a deep feature concatenation approach for the detection of COVID-19 from chest X-ray images;Ayadi;Healthcare,2022

2. Systematic review of diagnosis of clinically suspected scaphoid fractures;Bäcker;J. Wrist Surg.,2020

3. Bone fracture detection in X-ray images using convolutional neural network;Bagaria,2021

4. Abnormality detection in musculoskeletal radiographs with convolutional neural networks(ensembles) and performance optimization;Banga,2019

5. The advantages of the matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation;Chicco;BMC Genom.,2020

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