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Pubmed for Handhelds

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Journal Abstract Search

163 related items for PubMed ID: 24355697

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  • 26. Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.
    Agner SC, Soman S, Libfeld E, McDonald M, Thomas K, Englander S, Rosen MA, Chin D, Nosher J, Madabhushi A.
    J Digit Imaging; 2011 Jun; 24(3):446-63. PubMed ID: 20508965
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  • 28. Radiomic analysis of DCE-MRI for prediction of response to neoadjuvant chemotherapy in breast cancer patients.
    Fan M, Wu G, Cheng H, Zhang J, Shao G, Li L.
    Eur J Radiol; 2017 Sep; 94():140-147. PubMed ID: 28712700
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  • 34. Computerized assessment of breast lesion malignancy using DCE-MRI robustness study on two independent clinical datasets from two manufacturers.
    Chen W, Giger ML, Newstead GM, Bick U, Jansen SA, Li H, Lan L.
    Acad Radiol; 2010 Jul; 17(7):822-9. PubMed ID: 20540907
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  • 37. Prediction of malignant breast lesions from MRI features: a comparison of artificial neural network and logistic regression techniques.
    McLaren CE, Chen WP, Nie K, Su MY.
    Acad Radiol; 2009 Jul; 16(7):842-51. PubMed ID: 19409817
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  • 40. Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status.
    Kocak B, Durmaz ES, Ates E, Sel I, Turgut Gunes S, Kaya OK, Zeynalova A, Kilickesmez O.
    Eur Radiol; 2020 Feb; 30(2):877-886. PubMed ID: 31691122
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