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240 related items for PubMed ID: 28110476

  • 1. Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI.
    Xu X, Zhang X, Tian Q, Zhang G, Liu Y, Cui G, Meng J, Wu Y, Liu T, Yang Z, Lu H.
    Int J Comput Assist Radiol Surg; 2017 Apr; 12(4):645-656. PubMed ID: 28110476
    [Abstract] [Full Text] [Related]

  • 2. Preoperative prediction of muscular invasiveness of bladder cancer with radiomic features on conventional MRI and its high-order derivative maps.
    Xu X, Liu Y, Zhang X, Tian Q, Wu Y, Zhang G, Meng J, Yang Z, Lu H.
    Abdom Radiol (NY); 2017 Jul; 42(7):1896-1905. PubMed ID: 28217825
    [Abstract] [Full Text] [Related]

  • 3. Radiomics assessment of bladder cancer grade using texture features from diffusion-weighted imaging.
    Zhang X, Xu X, Tian Q, Li B, Wu Y, Yang Z, Liang Z, Liu Y, Cui G, Lu H.
    J Magn Reson Imaging; 2017 Nov; 46(5):1281-1288. PubMed ID: 28199039
    [Abstract] [Full Text] [Related]

  • 4. Quantitative Identification of Nonmuscle-Invasive and Muscle-Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis.
    Xu X, Zhang X, Tian Q, Wang H, Cui LB, Li S, Tang X, Li B, Dolz J, Ayed IB, Liang Z, Yuan J, Du P, Lu H, Liu Y.
    J Magn Reson Imaging; 2019 May; 49(5):1489-1498. PubMed ID: 30252978
    [Abstract] [Full Text] [Related]

  • 5. Imaging biomarker analysis of advanced multiparametric MRI for glioma grading.
    Vamvakas A, Williams SC, Theodorou K, Kapsalaki E, Fountas K, Kappas C, Vassiou K, Tsougos I.
    Phys Med; 2019 Apr; 60():188-198. PubMed ID: 30910431
    [Abstract] [Full Text] [Related]

  • 6. Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma.
    Feng Z, Rong P, Cao P, Zhou Q, Zhu W, Yan Z, Liu Q, Wang W.
    Eur Radiol; 2018 Apr; 28(4):1625-1633. PubMed ID: 29134348
    [Abstract] [Full Text] [Related]

  • 7. Optimizing Texture Retrieving Model for Multimodal MR Image-Based Support Vector Machine for Classifying Glioma.
    Yang Y, Yan LF, Zhang X, Nan HY, Hu YC, Han Y, Zhang J, Liu ZC, Sun YZ, Tian Q, Yu Y, Sun Q, Wang SY, Zhang X, Wang W, Cui GB.
    J Magn Reson Imaging; 2019 May; 49(5):1263-1274. PubMed ID: 30623514
    [Abstract] [Full Text] [Related]

  • 8. The invasion depth measurement of bladder cancer using T2-weighted magnetic resonance imaging.
    Liu Y, Zheng H, Xu X, Zhang X, Du P, Liang J, Lu H.
    Biomed Eng Online; 2020 Dec 07; 19(1):92. PubMed ID: 33287834
    [Abstract] [Full Text] [Related]

  • 9. Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification.
    Lee HS, Hong H, Jung DC, Park S, Kim J.
    Med Phys; 2017 Jul 07; 44(7):3604-3614. PubMed ID: 28376281
    [Abstract] [Full Text] [Related]

  • 10. Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI.
    Lee SH, Kim JH, Cho N, Park JS, Yang Z, Jung YS, Moon WK.
    Med Phys; 2010 Aug 07; 37(8):3940-56. PubMed ID: 20879557
    [Abstract] [Full Text] [Related]

  • 11. A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging.
    Hammouda K, Khalifa F, Soliman A, Ghazal M, El-Ghar MA, Badawy MA, Darwish HE, Khelifi A, El-Baz A.
    Comput Med Imaging Graph; 2021 Jun 07; 90():101911. PubMed ID: 33848756
    [Abstract] [Full Text] [Related]

  • 12. Characterization of texture features of bladder carcinoma and the bladder wall on MRI: initial experience.
    Shi Z, Yang Z, Zhang G, Cui G, Xiong X, Liang Z, Lu H.
    Acad Radiol; 2013 Aug 07; 20(8):930-8. PubMed ID: 23830600
    [Abstract] [Full Text] [Related]

  • 13. An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data.
    Zhang Y, Deng Q, Liang W, Zou X.
    Biomed Res Int; 2018 Aug 07; 2018():7538204. PubMed ID: 30228989
    [Abstract] [Full Text] [Related]

  • 14. Effects of imaging modalities, brain atlases and feature selection on prediction of Alzheimer's disease.
    Ota K, Oishi N, Ito K, Fukuyama H, SEAD-J Study Group, Alzheimer's Disease Neuroimaging Initiative.
    J Neurosci Methods; 2015 Dec 30; 256():168-83. PubMed ID: 26318777
    [Abstract] [Full Text] [Related]

  • 15. Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.
    Zhang X, Yan LF, Hu YC, Li G, Yang Y, Han Y, Sun YZ, Liu ZC, Tian Q, Han ZY, Liu LD, Hu BQ, Qiu ZY, Wang W, Cui GB.
    Oncotarget; 2017 Jul 18; 8(29):47816-47830. PubMed ID: 28599282
    [Abstract] [Full Text] [Related]

  • 16. Usefulness of texture features of apparent diffusion coefficient maps in predicting chemoradiotherapy response in muscle-invasive bladder cancer.
    Kimura K, Yoshida S, Tsuchiya J, Yamada I, Tanaka H, Yokoyama M, Matsuoka Y, Yoshimura R, Tateishi U, Fujii Y.
    Eur Radiol; 2022 Jan 18; 32(1):671-679. PubMed ID: 34120230
    [Abstract] [Full Text] [Related]

  • 17. Urinary bladder cancer staging in CT urography using machine learning.
    Garapati SS, Hadjiiski L, Cha KH, Chan HP, Caoili EM, Cohan RH, Weizer A, Alva A, Paramagul C, Wei J, Zhou C.
    Med Phys; 2017 Nov 18; 44(11):5814-5823. PubMed ID: 28786480
    [Abstract] [Full Text] [Related]

  • 18. Volumetric texture features from higher-order images for diagnosis of colon lesions via CT colonography.
    Song B, Zhang G, Lu H, Wang H, Zhu W, J Pickhardt P, Liang Z.
    Int J Comput Assist Radiol Surg; 2014 Nov 18; 9(6):1021-31. PubMed ID: 24696313
    [Abstract] [Full Text] [Related]

  • 19. The effect of glioblastoma heterogeneity on survival stratification: a multimodal MR imaging texture analysis.
    Liu Y, Zhang X, Feng N, Yin L, He Y, Xu X, Lu H.
    Acta Radiol; 2018 Oct 18; 59(10):1239-1246. PubMed ID: 29430935
    [Abstract] [Full Text] [Related]

  • 20. Absolute cosine-based SVM-RFE feature selection method for prostate histopathological grading.
    Sahran S, Albashish D, Abdullah A, Shukor NA, Hayati Md Pauzi S.
    Artif Intell Med; 2018 May 18; 87():78-90. PubMed ID: 29680688
    [Abstract] [Full Text] [Related]

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