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MR-T2-weighted signal intensity: a new imaging biomarker of prostate cancer aggressiveness.

, , , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 4 (3-4): 130-134 (2016)

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Dataset homogeneity assessment for a prostate cancer CAD system., , , , and . MeMeA, page 1-7. IEEE, (2016)Ensemble Detection of Colorectal Lesions for CT Colonography., , and . Abdominal Imaging, volume 7029 of Lecture Notes in Computer Science, page 60-67. Springer, (2011)Application of CT Acquisition Parameters as Features in Computer-Aided Detection for CT Colonography., , , and . Abdominal Imaging, volume 7601 of Lecture Notes in Computer Science, page 69-77. Springer, (2012)Correlation based Feature Selection impact on the classification of breast cancer patients response to neoadjuvant chemotherapy., , , , , and . MeMeA, page 1-5. IEEE, (2018)Information-Preserving Pseudo-Enhancement Correction for Non-Cathartic Low-Dose Dual-Energy CT Colonography., , , and . ABDI@MICCAI, volume 8676 of Lecture Notes in Computer Science, page 159-168. Springer, (2014)Context-specific method for detection of soft-tissue lesions in non-cathartic low-dose dual-energy CT colonography., , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94142Y. SPIE, (2015)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)., , , , , , , , , and 4 other author(s). BIOINFORMATICS, page 202-209. SciTePress, (2017)Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model., , , , , and . BIBE, page 393-396. IEEE, (2023)MR-T2-weighted signal intensity: a new imaging biomarker of prostate cancer aggressiveness., , , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 4 (3-4): 130-134 (2016)Multimodal T2w and DWI Prostate Gland Automated Registration., , , , , , , and . EMBC, page 4427-4430. IEEE, (2019)