Prediction of Neoadjuvant Chemotherapy Response in Osteosarcoma Using Convolutional Neural Network of Tumor Center <sup>18</sup>F-FDG PET Images

Prediction of Neoadjuvant Chemotherapy Response in Osteosarcoma Using Convolutional Neural Network of Tumor Center <sup>18</sup>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−<sup>18</sup>fluorodeoxyglucose (<sup>18</sup>F-FDG) uptake heterogeneity features and a con...

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Detalles Bibliográficos
Autores principales: Jingyu Kim, Su Young Jeong, Byung-Chul Kim, Byung-Hyun Byun, Ilhan Lim, Chang-Bae Kong, Won Seok Song, Sang Moo Lim, Sang-Keun Woo
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2021-10-01
Colección:Diagnostics
Materias:
<sup>18</sup>F-FDG heterogeneity
convolutional neural network
chemotherapy response
osteosarcoma
machine learning
Acceso en línea:https://www.mdpi.com/2075-4418/11/11/1976

Internet

https://www.mdpi.com/2075-4418/11/11/1976

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