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Application of CT Acquisition Parameters as Features in Computer-Aided Detection for CT Colonography., , , и . Abdominal Imaging, том 7601 из Lecture Notes in Computer Science, стр. 69-77. Springer, (2012)Ensemble Detection of Colorectal Lesions for CT Colonography., , и . Abdominal Imaging, том 7029 из Lecture Notes in Computer Science, стр. 60-67. Springer, (2011)Dataset homogeneity assessment for a prostate cancer CAD system., , , , и . MeMeA, стр. 1-7. IEEE, (2016)Information-Preserving Pseudo-Enhancement Correction for Non-Cathartic Low-Dose Dual-Energy CT Colonography., , , и . ABDI@MICCAI, том 8676 из Lecture Notes in Computer Science, стр. 159-168. Springer, (2014)Correlation based Feature Selection impact on the classification of breast cancer patients response to neoadjuvant chemotherapy., , , , , и . MeMeA, стр. 1-5. IEEE, (2018)A Web- and Cloud- based Service for the Clinical Use of a CAD (Computer Aided Detection) System - Automated Detection of Lung Nodules in Thoracic CTs (Computed Tomographies)., , , , , , , , , и 4 other автор(ы). BIOINFORMATICS, стр. 202-209. SciTePress, (2017)MR-T2-weighted signal intensity: a new imaging biomarker of prostate cancer aggressiveness., , , , , , и . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 4 (3-4): 130-134 (2016)Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model., , , , , и . BIBE, стр. 393-396. IEEE, (2023)Context-specific method for detection of soft-tissue lesions in non-cathartic low-dose dual-energy CT colonography., , и . Medical Imaging: Computer-Aided Diagnosis, том 9414 из SPIE Proceedings, стр. 94142Y. SPIE, (2015)ChiMerge discretization method: Impact on a computer aided diagnosis system for prostate cancer in MRI., , , , , и . MeMeA, стр. 297-302. IEEE, (2015)