MPFracNet: A Deep Learning Algorithm for Metacarpophalangeal Fracture Detection with Varied Difficulties-Reference-Cited by-同舟云学术

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MPFracNet: A Deep Learning Algorithm for Metacarpophalangeal Fracture Detection with Varied Difficulties

Published:2023 Issue:1 Volume:75 Page:999-1015
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Qin Geng,Luo Ping,Li Kaiyuan,Sun Yufeng,Wang Shiwei,Li Xiaoting,Liu Shuang,Xue Linyan

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v75n1/51513/pdf

Reference26 articles.

1. Metacarpal and phalangeal fractures in athletes;Cotterell;Clinics in Sports Medicine,2015

2. Automated detection and classification of the proximal humerus fracture by using deep learning algorithm;Chung;Acta Orthopaedica,2018

3. Detection of missed fractures of hand and forearm in whole-body CT in a blinded reassessment;Kim;BMC Musculoskeletal Disorders,2021

4. Application of deep learning algorithm to detect and visualize vertebral fractures on plain frontal radiographs;Chen;Public Library of Science One,2021

5. Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network;Urakawa;Skeletal Radiology,2019

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