Sarji SA. Physiological uptake in FDG PET simulating disease. Biomed Imaging Interv J. 2006;2(4):e59. https://doi.org/10.2349/biji.2.4.e59.
Kousgaard SJ, Thorlacius-Ussing O. Incidental colorectal FDG uptake on PET/CT scan lesions observed during subsequent colonoscopy: a systematic review. Tech Coloproctol. 2017;21(7):421–529. https://doi.org/10.1007/s10151-017-1652-6.
Fikri S, Şimşek M, İspiroğlu B, Tağdemir, et al. What approach should we take for the incidental finding of increased 18F-FDG uptake foci in the colon on PET/CT? Nucl Med Commun. 2015;36(12):1195–201..
Yasuda S, Kobayashi K, Ono M, et al. Classification of Physiological 18F-fluorodeoxyglucose Uptake in the Large Intestine: a Preliminary Study. Tokai J Exp Clin Med. 2014;39(3):141–5.
Keyzer C, Dhaene B, Blocklet D, et al. Colonoscopic Findings in Patients With Incidental Colonic Focal FDG Uptake. AJR. 2015;204(5):586–91. https://doi.org/10.2214/ajr.14.12817.
Kei PL, Vikram R, Yeung HWD, et al. Incidental Finding of Focal FDG Uptake in the Bowel During PET/CT. CT Features and Correlation With Hisropathologic Results. AJR. 2010;194(5):401–6. . https://doi.org/10.2214/ajr.09.3703
Gutman F, Alberini J-L. Incidental Colonic Focal Lesions Detected by FDG PET/CT. AJR. 2005;185(8):495–500. https://doi.org/10.2214/ajr.185.2.01850495.
Nguyen T, Hess Søren, Peterson H, et al. Can semiquantitative measurements of SUVmax and cut-off differentiate colorectal malignant from benign lessions? Hell J Nucl Med. 2017;20(2):113–21. https://doi.org/10.1967/s002449910551.
Miyake KK, Nakamoto Y, Togashi K. Dial-time-point 18F-FDG PET/CT in patients with colorectal cancer: clinical value of early delayed scanning. Ann Nucl Med. 2012;26(6):492–500. https://doi.org/10.1007/s12149-012-0599.
Article CAS PubMed Google Scholar
Tian J, Dong D, Liu Z et al. Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging 2018; 140: 267–321. https://doi.org/10.1007/978-3-319-68843-5_11
Zhang W, Guo Y, Jin Q, Radiomics and, Slection IF. Rev. 2023;15(10):1834. https://doi.org/10.3390/sym15101834.
Gal Y, Ghahramani Z. Dropout as a Bayesian approximation: Representing Model Uncertainty in Deep Learning. Mach Learn. 2016;48:1050–9. https://doi.org/10.48559/arXiv.1506.02142.
Christophe Nioche F, Orlhac S, Boughdad et al. LIFEx: AFreeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity. Cancer Res; 78(16): 4786–9. https://doi.org/10.1158/0008-5472.CAN-18-0125
Nadeem MSA, Zucker J-D, Hancazr B, Accuracy-Rejection. Curves (ARCs)for Comparing Classification Methods with a Reject Option. JMLR Workshop Conf Proc. 2010;8:65–81.
Geifman Y, EI-Yaniv R. Selective Classification for Deep Neural Networks. arXiv 2017; arXiv:1705.08500.
Kanda Y. Investigation of the freely-available easy-to-use software EZR (Easy R) for medical statistics. Bone Marrow Transpl. 2013;48:452–8. https://doi.org/10.1038/bmt.2012.244. advance online publication 3 December 2012.
Mohamed OM, Ahmed SYI, Awadain, Mohamed EM, Gar-Elnabi. Characterization of Colorectal Cancer Gross Target Volume with 18F-FDG PET/CT Image using the Second-Order Statistical Texture Analysis. IJSR. 2023;12(2):1381–7. https://doi.org/10.21275/SR23222162943.
Bailly C, Bodet-Milin C, Couespel S et al 2016 Revisiting the robustness of PET-based textural features in the context of multi-centric trials. PLoS ONE https://doi.org/10.1371/journal.pone.0159984.
Article PubMed PubMed Central Google Scholar
Debing Shi G, Cai J, Peng, et al. The preoperative SUVmax for 18F-FDG uptake predicts survival in patients with colorectal cancer. BMC Cancer. 2015;15:991. https://doi.org/10.1186/s12885-015-1991-5.
Article CAS PubMed PubMed Central Google Scholar
Andreanne Lemay K, Hoebel CP, Bridge et al. Monte Carlo dropout increases model repeatability. ML4H 2021. https://doi.org/10.48550/arXiv.2111.06754
Kendall A, Yarin Gal. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Conference on Neural Information Processing Systems 2017. https://doi.org/10.48550/arXiv.1703.04977
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