Prediction of Neoadjuvant Chemotherapy Response in Osteosarcoma Using Convolutional Neural Network of Tumor Center (18)F-FDG PET Images

We compared the accuracy of prediction of the response to neoadjuvant chemotherapy (NAC) in osteosarcoma patients between machine learning approaches of whole tumor utilizing fluorine−(18)fluorodeoxyglucose ((18)F-FDG) uptake heterogeneity features and a convolutional neural network of the intratumo...

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Detalles Bibliográficos
Autores principales: Kim, Jingyu, Jeong, Su Young, Kim, Byung-Chul, Byun, Byung-Hyun, Lim, Ilhan, Kong, Chang-Bae, Song, Won Seok, Lim, Sang Moo, Woo, Sang-Keun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617812/
https://www.ncbi.nlm.nih.gov/pubmed/34829324
http://dx.doi.org/10.3390/diagnostics11111976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617812/
https://www.ncbi.nlm.nih.gov/pubmed/34829324
http://dx.doi.org/10.3390/diagnostics11111976

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