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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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: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
<sup>18</sup>F-FDG heterogeneity
convolutional neural network
chemotherapy response
osteosarcoma
machine learning
Medicine (General)
R5-920
Acceso en línea:https://doaj.org/article/0b57af5f79e040f6b970464abd406295
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https://doaj.org/article/0b57af5f79e040f6b970464abd406295

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