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A contrast enhancement method for improving the segmentation of breast lesions on ultrasonography.

, and . Comput. Biol. Medicine, (2017)

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On the selection of surrogate models in evolutionary optimization algorithms., , and . IEEE Congress on Evolutionary Computation, page 2155-2162. IEEE, (2011)Many-view clustering: an illustration using multiple dissimilarity measures., , , and . GECCO (Companion), page 213-214. ACM, (2019)A Performance Evaluation of Machine Learning Techniques for Breast Ultrasound Classification., , and . CCE, page 1-5. IEEE, (2019)A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound., and . Comput. Biol. Medicine, (2020)Towards Dendrite Spherical Neurons for Pattern Classification., and . MCPR, volume 12088 of Lecture Notes in Computer Science, page 14-24. Springer, (2020)Construction of Mixed Covering Arrays Using a Combination of Simulated Annealing and Variable Neighborhood Search., , , and . Electron. Notes Discret. Math., (2015)Assessment of the invariance and discriminant power of morphological features under geometric transformations for breast tumor classification., and . Comput. Methods Programs Biomed., (2020)BUSAT: A MATLAB Toolbox for Breast Ultrasound Image Analysis., , and . MCPR, volume 10267 of Lecture Notes in Computer Science, page 268-277. Springer, (2017)Study of the impact of image preprocessing approaches on the segmentation and classification of breast lesions on ultrasound., , , , and . CCE, page 1-4. IEEE, (2017)A computer-aided diagnosis system for breast ultrasound based on weighted BI-RADS classes., , and . Comput. Methods Programs Biomed., (2018)