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Journal Abstract Search

536 related items for PubMed ID: 32538891

  • 21. Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.
    Yin P, Mao N, Zhao C, Wu J, Sun C, Chen L, Hong N.
    Eur Radiol; 2019 Apr; 29(4):1841-1847. PubMed ID: 30280245
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  • 25. Diagnostic performance and inter-operator variability of apparent diffusion coefficient analysis for differentiating pleomorphic adenoma and carcinoma ex pleomorphic adenoma: comparing one-point measurement and whole-tumor measurement including radiomics approach.
    Wada T, Yokota H, Horikoshi T, Starkey J, Hattori S, Hashiba J, Uno T.
    Jpn J Radiol; 2020 Mar; 38(3):207-214. PubMed ID: 31820265
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  • 27. Value of MRI-based radiomics analysis for differentiation of benign and malignant epithelial neoplasms in the lacrimal gland: a retrospective study.
    Guo J, Li Z, Qu X, Xian J.
    Acta Radiol; 2021 Jun; 62(6):743-751. PubMed ID: 32660315
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  • 28. Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.
    Liang M, Cai Z, Zhang H, Huang C, Meng Y, Zhao L, Li D, Ma X, Zhao X.
    Acad Radiol; 2019 Nov; 26(11):1495-1504. PubMed ID: 30711405
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  • 32. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
    Abbaspour S, Barahman M, Abdollahi H, Arabalibeik H, Hajainfar G, Babaei M, Iraji H, Barzegartahamtan M, Ay MR, Mahdavi SR.
    Biomed Phys Eng Express; 2023 Dec 20; 10(1):. PubMed ID: 37995359
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  • 34. Multi-parametric assessment of cardiac magnetic resonance images to distinguish myocardial infarctions: A tensor-based radiomics feature.
    Wang D, Jasim Taher H, Al-Fatlawi M, Abdullah BA, Khayatovna Ismailova M, Abedi-Firouzjah R.
    J Xray Sci Technol; 2024 Dec 20; 32(3):735-749. PubMed ID: 38217635
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  • 39. Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values.
    Fan C, Sun K, Min X, Cai W, Lv W, Ma X, Li Y, Chen C, Zhao P, Qiao J, Lu J, Guo Y, Xia L.
    Eur J Radiol; 2022 Mar 20; 148():110158. PubMed ID: 35066342
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