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Articles Published Processes
11/16/2023 3:03:20 AM | Browse: 218 | Download: 655
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Received |
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2023-08-25 17:39 |
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Peer-Review Started |
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2023-08-25 17:41 |
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To Make the First Decision |
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Return for Revision |
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2023-09-28 11:35 |
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Revised |
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2023-10-11 22:10 |
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Second Decision |
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2023-10-27 06:01 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-10-30 07:39 |
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Articles in Press |
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2023-10-30 07:39 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2023-11-08 07:20 |
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Publish the Manuscript Online |
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2023-11-16 03:03 |
| ISSN |
2218-5836 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Orthopedics |
| Manuscript Type |
Basic Study |
| Article Title |
Automated decision support for Hallux Valgus treatment options using anteroposterior foot radiographs
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Konrad Kwolek, Artur Gądek, Kamil Kwolek, Radek Kolecki and Henryk Liszka |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Henryk Liszka, MD, PhD, Academic Research, Professor, Research Scientist, Surgeon, Department of Orthopedics and Physiotherapy, Jagiellonian University Collegium Medicum, Macieja Jakubowskiego 2, Kraków 30-688, Poland. liszkah@gmail.com |
| Key Words |
Computer-aided diagnosis; Artificial intelligence in orthopedics; Automated preoperative decision support; Deep learning; Medical imaging |
| Core Tip |
This study presents an accurate method for automated assessment of angles of hallux valgus on high-resolution weight-bearing anteroposterior feet radiographs. Reference points are estimated according to the AOFAS standard on the automatic segmentation of foot bones. The proposed method accurately calculates angles even in the case of significant toe deformity automating preoperative decision-making. Experimental results revealed high reliability of hallux valgus angle and intermetatarsal angle measurements between the proposed algorithm and medical doctors, achieving a correlation of almost 80%. |
| Publish Date |
2023-11-16 03:03 |
| Citation |
Kwolek K, Gądek A, Kwolek K, Kolecki R, Liszka H. Automated decision support for Hallux Valgus treatment options using anteroposterior foot radiographs. World J Orthop 2023; 14(11): 800-812 |
| URL |
https://www.wjgnet.com/2218-5836/full/v14/i11/800.htm |
| DOI |
https://dx.doi.org/10.5312/wjo.v14.i11.800 |
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