Advances and challenges in the use of artificial intelligence for the diagnosis of osteoarthritis
Author:
Affiliation:
1. Universidade de São Paulo, Brazil. Email
Publisher
FapUNIFESP (SciELO)
Subject
Radiology, Nuclear Medicine and imaging
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0100-39842023000500011&tlng=en
Reference5 articles.
1. Desenvolvimento de rede neural convolucional para o diagnóstico radiográfico de osteoartrite dos joelhos no ELSA-Brasil Musculoesquelético;Domingues JG;Radiol Bras,2023
2. Automatic knee osteoarthritis diagnosis from plain radiographs: a deep learning-based approach;Tiulpin A;Sci Rep,2018
3. Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss;Chen P;Comput Med Imaging Graph,2019
4. Detection and classification of knee osteoarthritis;Cueva JH;Diagnostics (Basel),2022
5. Automatic detection and classification of knee osteoarthritis using deep learning approach;Abdullah SS;Radiol Med,2022
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