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Feature Selection and Performance Evaluation of Support Vector Machine (SVM)-Based Classifier for Differentiating Benign and Malignant Pulmonary Nodules by Computed Tomography.

, , , , , and . J. Digital Imaging, 23 (1): 51-65 (2010)

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Automatic honeycombing detection based on watershed transform., , and . ICDIP, volume 8009 of SPIE Proceedings, page 800906. SPIE, (2011)Automatic Segmentation of Ground-Glass Opacities in Lung CT Images by Using Markov Random Field-Based Algorithms., , , , and . J. Digital Imaging, 25 (3): 409-422 (2012)Feature Selection and Performance Evaluation of Support Vector Machine (SVM)-Based Classifier for Differentiating Benign and Malignant Pulmonary Nodules by Computed Tomography., , , , , and . J. Digital Imaging, 23 (1): 51-65 (2010)Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery., , , , , and . IEEE Trans. Image Processing, 22 (12): 4652-4663 (2013)Differential Evolution for Optimization of Land Use., and . ICSI (1), volume 6145 of Lecture Notes in Computer Science, page 499-504. Springer, (2010)T1rho Fractional-order Relaxation of Human Articular Cartilage., , , , , , , , , and 1 other author(s). EMBC, page 4496-4499. IEEE, (2019)An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling., , , , , , , , , and . CoRR, (2019)Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning., , , , , , and . CoRR, (2019)A model-based method with joint sparsity constraint for direct diffusion tensor estimation., , , , , and . ISBI, page 510-513. IEEE, (2012)Accelerating MR Imaging via Deep Chambolle-Pock Network., , , , , , , , , and 1 other author(s). EMBC, page 6818-6821. IEEE, (2019)