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Comparison of Feature Selection Methods for Predicting RT-Induced Toxicity.

, , , , , , and . EFMI-STC, volume 258 of Studies in Health Technology and Informatics, page 253-254. IOS Press, (2019)

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Comparison of Feature Selection Methods for Predicting RT-Induced Toxicity., , , , , , and . EFMI-STC, volume 258 of Studies in Health Technology and Informatics, page 253-254. IOS Press, (2019)Application of a Rule-Based Classifier to Data Regarding Radiation Toxicity in Prostate Cancer Treatment., , , and . BIOSTEC (Selected Papers), volume 1024 of Communications in Computer and Information Science, page 384-398. Springer, (2018)Validation of a method for retroperitoneal tumor segmentation., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (12): 2055-2067 (2017)Joint segmentation of bones and muscles using an intensity and histogram-based energy minimization approach., , , , and . Comput. Methods Programs Biomed., (2018)Three-dimensional segmentation of retroperitoneal masses using continuous convex relaxation and accumulated gradient distance for radiotherapy planning., , , , , , and . Medical Biol. Eng. Comput., 55 (1): 1-15 (2017)A Rule-based Method Applied to the Imbalanced Classification of Radiation Toxicity., , , and . HEALTHINF, page 147-155. SciTePress, (2018)Application of Artificial Intelligence in Tumors Sizing Classification for Breast Cancer., , , , , and . IWBBIO, page 499-500. Copicentro Editorial, (2013)