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A CT-based radiomics nomogram for distinguishing between benign and malignant bone tumours
Sun, Weikai, Liu, Shunli, Guo, Jia, Liu, Song, Hao, Dapeng, Hou, Feng, Wang, Hexiang, Xu, Wenjian
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Published in Cancer imaging (06.02.2021)
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Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer
Zhao, Hongyue, Su, Yexin, Wang, Yan, Lyu, Zhehao, Xu, Peng, Gu, Wenchao, Tian, Lin, Fu, Peng
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Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution
Ji, Yu, Li, Hui, Edwards, Alexandra V., Papaioannou, John, Ma, Wenjuan, Liu, Peifang, Giger, Maryellen L.
Published in Cancer imaging (18.09.2019)
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The effects of volume of interest delineation on MRI-based radiomics analysis: evaluation with two disease groups
Zhang, Xiao, Zhong, Liming, Zhang, Bin, Zhang, Lu, Du, Haiyan, Lu, Lijun, Zhang, Shuixing, Yang, Wei, Feng, Qianjin
Published in Cancer imaging (21.12.2019)
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MR radiomics predicts pathological complete response of esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapy: a multicenter study
Liu, Yunsong, Wang, Yi, Wang, Xin, Xue, Liyan, Zhang, Huan, Ma, Zeliang, Deng, Heping, Yang, Zhaoyang, Sun, Xujie, Men, Yu, Ye, Feng, Men, Kuo, Qin, Jianjun, Bi, Nan, Wang, Qifeng, Hui, Zhouguang
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CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study
Song, Hongzheng, Yang, Shifeng, Yu, Boyang, Li, Na, Huang, Yonghua, Sun, Rui, Wang, Bo, Nie, Pei, Hou, Feng, Huang, Chencui, Zhang, Meng, Wang, Hexiang
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Man or machine? Prospective comparison of the version 2018 EASL, LI-RADS criteria and a radiomics model to diagnose hepatocellular carcinoma
Jiang, Hanyu, Liu, Xijiao, Chen, Jie, Wei, Yi, Lee, Jeong Min, Cao, Likun, Wu, Yuanan, Duan, Ting, Li, Xin, Ma, Ling, Song, Bin
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Using neighborhood gray tone difference matrix texture features on dual time point PET/CT images to differentiate malignant from benign FDG-avid solitary pulmonary nodules
Chen, Song, Harmon, Stephanie, Perk, Timothy, Li, Xuena, Chen, Meijie, Li, Yaming, Jeraj, Robert
Published in Cancer imaging (16.08.2019)
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Preoperative CT-based radiomics combined with tumour spread through air spaces can accurately predict early recurrence of stage I lung adenocarcinoma: a multicentre retrospective cohort study
Wang, Yuhang, Ding, Yun, Liu, Xin, Li, Xin, Jia, Xiaoteng, Li, Jiuzhen, Zhang, Han, Song, Zhenchun, Xu, Meilin, Ren, Jie, Sun, Daqiang
Published in Cancer imaging (07.09.2023)
Published in Cancer imaging (07.09.2023)
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Contrast-enhanced ultrasonography–CT/MRI fusion guidance for percutaneous ablation of inconspicuous, small liver tumors: improving feasibility and therapeutic outcome
Lee, Yuna, Yoon, Jeong Hee, Han, Seungchul, Joo, Ijin, Lee, Jeong Min
Published in Cancer imaging (03.01.2024)
Published in Cancer imaging (03.01.2024)
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A 18F-FDG PET/CT-based deep learning-radiomics-clinical model for prediction of cervical lymph node metastasis in esophageal squamous cell carcinoma
Yuan, Ping, Huang, Zhen-Hao, Yang, Yun-Hai, Bao, Fei-Chao, Sun, Ke, Chao, Fang-Fang, Liu, Ting-Ting, Zhang, Jing-Jing, Xu, Jin-Ming, Li, Xiang-Nan, Li, Feng, Ma, Tao, Li, Hao, Li, Zi-Hao, Zhang, Shan-Feng, Hu, Jian, Qi, Yu
Published in Cancer imaging (12.11.2024)
Published in Cancer imaging (12.11.2024)
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68Ga-PSMA PET/CT-based multivariate model for highly accurate and noninvasive diagnosis of clinically significant prostate cancer in the PSA gray zone
Yang, Jinhui, Li, Jian, Xiao, Ling, Zhou, Ming, Fang, Zhihui, Cai, Yi, Tang, Yongxiang, Hu, Shuo
Published in Cancer imaging (04.09.2023)
Published in Cancer imaging (04.09.2023)
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Full automation of total metabolic tumor volume from FDG-PET/CT in DLBCL for baseline risk assessments
Jemaa, S., Paulson, J. N., Hutchings, M., Kostakoglu, L., Trotman, J., Tracy, S., de Crespigny, A., Carano, R. A. D., El-Galaly, T. C., Nielsen, T. G., Bengtsson, T.
Published in Cancer imaging (12.08.2022)
Published in Cancer imaging (12.08.2022)
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Meta-analysis of 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CT, and 68Ga-PSMA PET/CT in diagnostic efficacy of prostate Cancer
Yu, Wenxiao, Zhao, Ming, Deng, Yingjun, Liu, Shengjing, Du, Guanchao, Yan, Bin, Zhao, Ziwei, Sun, Ning, Guo, Jun
Published in Cancer imaging (21.08.2023)
Published in Cancer imaging (21.08.2023)
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Validation of 18F-FDG PET/MRI and diffusion-weighted MRI for estimating the extent of peritoneal carcinomatosis in ovarian and endometrial cancer -a pilot study
Jónsdóttir, Björg, Ripoll, Montserrat Alemany, Bergman, Antonina, Silins, Ilvars, Poromaa, Inger Sundström, Ahlström, Håkan, Stålberg, Karin
Published in Cancer imaging (13.04.2021)
Published in Cancer imaging (13.04.2021)
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Current trends in the characterization and monitoring of vascular response to cancer therapy
Shrestha, Binita, Stern, Noah B, Zhou, Annie, Dunn, Andrew, Porter, Tyrone
Published in Cancer imaging (23.10.2024)
Published in Cancer imaging (23.10.2024)
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Cross-institutional evaluation of deep learning and radiomics models in predicting microvascular invasion in hepatocellular carcinoma: validity, robustness, and ultrasound modality efficacy comparison
Zhang, Weibin, Guo, Qihui, Zhu, Yuli, Wang, Meng, Zhang, Tong, Cheng, Guangwen, Zhang, Qi, Ding, Hong
Published in Cancer imaging (22.10.2024)
Published in Cancer imaging (22.10.2024)
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Assessment of MGMT promoter methylation status in glioblastoma using deep learning features from multi-sequence MRI of intratumoral and peritumoral regions
Yu, Xuan, Zhou, Jing, Wu, Yaping, Bai, Yan, Meng, Nan, Wu, Qingxia, Jin, Shuting, Liu, Huanhuan, Li, Panlong, Wang, Meiyun
Published in Cancer imaging (23.12.2024)
Published in Cancer imaging (23.12.2024)
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CT-based radiomics models may predict the early efficacy of microwave ablation in malignant lung tumors
Zhu, Fandong, Yang, Chen, Xia, Yang, Wang, Jianping, Zou, Jiajun, Zhao, Li, Zhao, Zhenhua
Published in Cancer imaging (12.06.2023)
Published in Cancer imaging (12.06.2023)
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