Is mass classification in mammograms a solved problem? - A critical review over the last 20 years
作者：
Highlights：
• Mammographic masses classification is dominated by ANN, SVM and KNN.
• Grammars and syntactic approaches have not been used so far.
• Genetic algorithm was the most used technique to reduce feature dimensionality.
• Most of the published papers are database-dependent.
• Results are not comparable due to the lack of a common benchmark.
摘要
•Mammographic masses classification is dominated by ANN, SVM and KNN.•Grammars and syntactic approaches have not been used so far.•Genetic algorithm was the most used technique to reduce feature dimensionality.•Most of the published papers are database-dependent.•Results are not comparable due to the lack of a common benchmark.
论文关键词：Mammography,Mammogram,Breast cancer,Classification,Diagnosis,Pattern recognition
论文评审过程：Received 14 July 2018, Revised 29 September 2018, Accepted 15 October 2018, Available online 16 October 2018, Version of Record 29 October 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.10.032
