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Improving malignancy prediction through feature selection informed by nodule size ranges in NLST.

, , , , , , и . SMC, стр. 1939-1944. IEEE, (2016)

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Detecting and ordering salient regions., , , , и . Data Min. Knowl. Discov., 22 (1-2): 259-290 (2011)A New Ensemble Diversity Measure Applied to Thinning Ensembles., , , и . Multiple Classifier Systems, том 2709 из Lecture Notes in Computer Science, стр. 306-316. Springer, (2003)Novel approach to feature extraction for MRI segmentation., , и . Medical Imaging: Image Processing, том 2710 из SPIE Proceedings, SPIE, (1996)Chemical Process Fault Diagnosis Using Kernel Retrofitted Fuzzy Genetic Algorithm Based Learner (FGAL) with a Hidden Markov Model., , и . IEA/AIE (Vol. 1), том 1415 из Lecture Notes in Computer Science, стр. 190-199. Springer, (1998)Exploring Big Data with Scalable Soft Clustering.. SMPS, том 190 из Advances in Intelligent Systems and Computing, стр. 11-15. Springer, (2012)Automatic quantification and classification of cervical cancer via Adaptive Nucleus Shape Modeling., , , , и . ICIP, стр. 2658-2662. IEEE, (2016)Improving malignancy prediction through feature selection informed by nodule size ranges in NLST., , , , , , и . SMC, стр. 1939-1944. IEEE, (2016)Filtering for improved gene selection on microarray data., , , и . SMC, стр. 3250-3257. IEEE, (2010)Automatic Red Tide Detection from MODIS Satellite Images., , , , и . SMC, стр. 1864-1868. IEEE, (2009)Feature selection for microarray data by AUC analysis., , , и . SMC, стр. 768-773. IEEE, (2008)