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Multiobjective genetic optimization of diagnostic classifiers used in the computerized detection of mass lesions in mammography.

, , and . Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)

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Adaptive small-animal SPECT/CT., , , , , , , , and . ISBI, page 1407-1410. IEEE, (2008)Image-Quality Assessment in Optical Tomography., and . ISBI, page 1471-1474. IEEE, (2004)Multiobjective genetic optimization of diagnostic classifiers used in the computerized detection of mass lesions in mammography., , and . Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)Observer models utilizing compressed textures., and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11599 of SPIE Proceedings, SPIE, (2021)Reconstruction-Aware Imaging System Ranking by Use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference., , , , and . IEEE Trans. Med. Imaging, 38 (5): 1251-1262 (2019)Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network., , , , and . Medical Imaging: Image Processing, volume 4322 of SPIE Proceedings, SPIE, (2001)Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard., , , , and . IPMI, volume 2082 of Lecture Notes in Computer Science, page 12-23. Springer, (2001)Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach., , and . IEEE Trans. Med. Imaging, 17 (6): 1089-1093 (1998)Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard., , , , and . IEEE Trans. Med. Imaging, 21 (5): 441-449 (2002)Feature selection and classifiers for the computerized detection of mass lesions in digital mammography., and . ICNN, page 2460-2463. IEEE, (1997)