Artificial Intelligence and Machine Learning
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-39005-0_24
Reference38 articles.
1. Park Y-J, Shin MH, Moon SH. Radiogenomics based on PET imaging. Nucl Med Mol Imaging. 2020;54:128–38. https://doi.org/10.1007/s13139-020-00642-x.
2. Morris LGT, Riaz N, Desrichard A, Şenbabaoğlu Y, Hakimi AA, Makarov V, et al. Pan-cancer analysis of intratumor heterogeneity as a prognostic determinant of survival. Oncotarget. 2016;7:10051–63. https://doi.org/10.18632/oncotarget.7067.
3. Lee JW, Lee SM. Radiomics in oncological PET/CT: clinical applications. Nucl Med Mol Imaging. 2018;52:170–89. https://doi.org/10.1007/s13139-017-0500-y.
4. Bailly C, Bodet-Milin C, Bourgeois M, Gouard S, Ansquer C, Barbaud M, et al. Exploring tumor heterogeneity using PET imaging: the big picture. Cancers (Basel). 2019;11:E1282. https://doi.org/10.3390/cancers11091282.
5. Chetan MR, Gleeson FV. Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives. Eur Radiol. 2021;31:1049–58. https://doi.org/10.1007/s00330-020-07141-9.
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