Enchondroma Detection from Hand Radiographs with an Interactive Deep Learning Segmentation Tool—A Feasibility Study
Year of publication
2023
Authors
Anttila, Turkka Tapio; Aspinen, Samuli; Pierides, Georgios; Haapamäki, Ville; Laitinen, Minna Katariina; Ryhänen, Jorma
Organizations and authors
University of Helsinki
Pierides Georgios
Ryhänen Jorma
Laitinen Minna Katariina
Aspinen Samuli
Anttila Turkka Tapio
Haapamäki Ville
Helsinki University Hospital
Pierides Georgios
Ryhänen Jorma
Laitinen Minna Katariina
Aspinen Samuli
Anttila Turkka Tapio
Haapamäki Ville
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Journal/Series
Parent publication name
Volume
12
Issue
22
Article number
7129
ISSN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
Self-archived
Yes
Article processing fee (EUR)
1348
Year of payment for the open publication fee
2023
Other information
Fields of science
Surgery, anesthesiology, intensive care, radiology
Publication country
Switzerland
Internationality of the publisher
International
Language
English
International co-publication
No
Co-publication with a company
No
DOI
10.3390/jcm12227129
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes