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Self-organizing map for cluster analysis of a breast cancer database.

, , , and . Artif. Intell. Medicine, 27 (2): 113-127 (2003)

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Self-organizing map for cluster analysis of a breast cancer database., , , and . Artif. Intell. Medicine, 27 (2): 113-127 (2003)A Knowledge Graph Approach for the Secondary Use of Cancer Registry Data., , , , and . BHI, page 1-4. IEEE, (2019)Extraction of Tumor Site from Cancer Pathology Reports using Deep Filters., , , and . BCB, page 320-327. ACM, (2019)Fractal Texture Analysis of Perfusion Lung Scans., , , and . Comput. Biomed. Res., 33 (3): 161-171 (2000)Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types., , , , , , , , , and 4 other author(s). J. Biomed. Informatics, (2022)Information-theoretic CAD system in mammography: improved mass detection by incorporating a Gaussian saliency map., and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 726017. SPIE, (2009)Automated detection of mammographic masses: preliminary assessment of an information-theoretic CAD scheme for reduction of false positives., , , and . Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)Performance evaluation of an information-theoretic CAD scheme for the detection of mammographic architectural distortion., and . Medical Imaging: Image Processing, volume 5370 of SPIE Proceedings, SPIE, (2004)Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis., , , and . IJCNN, page 2005-2009. IEEE, (2007)Bilateral Breast Volume Asymmetry in Screening Mammograms as a Potential Marker of Breast Cancer: Preliminary Experience., , and . ICIP (5), page 5-8. IEEE, (2007)