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Prediction using hierarchical data: Applications for automated detection of cervical cancer.

, , , , , , and . Stat. Anal. Data Min., 8 (2): 65-74 (2015)

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Boosted Tree Classifier for in Vivo Identification of Early Cervical Cancer using Multispectral Digital Colposcopy., , , , , , , , , and 6 other author(s). BIOIMAGING, page 85-91. SciTePress, (2017)Objective assessment of aesthetic outcomes of breast cancer treatment: Measuring ptosis from clinical photographs., , , , , and . Comput. Biol. Medicine, 37 (1): 49-59 (2007)Performance estimation of diagnostic tests for cervical precancer based on fluorescence spectroscopy: effects of tissue type, sample size, population, and signal-to-noise ratio., , , , , and . IEEE Trans. Biomed. Eng., 46 (11): 1293-1303 (1999)Why Does It Take Longer to Read Digital Than Film-Screen Screening Mammograms? A Partial Explanation., , , , , , and . J. Digital Imaging, 23 (2): 170-180 (2010)Prediction using hierarchical data: Applications for automated detection of cervical cancer., , , , , , and . Stat. Anal. Data Min., 8 (2): 65-74 (2015)Optimal excitation wavelengths for discrimination of cervical neoplasia., , , , , , , , and . IEEE Trans. Biomed. Eng., 49 (10): 1102-1111 (2002)