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A Survey of Convolutional Neural Network in Breast Cancer

Computer Modeling in Engineering & Sciences 2023年第9期136卷 2127-2172页

作者： Ziquan Zhu Shui-Hua Wang Yu-Dong Zhang School of Computing and Mathematical Sciences University of LeicesterLeicesterLE17RHUK

Problems:For people all over the world,cancer is one of the most feared *** is one of the major obstacles to improving life expectancy in countries around the world and one of the biggest causes of death before the age of 70 in 112 *** all kinds of cancers,breast cancer is the most common cancer for *** data showed that female breast cancer had become one of themost common ***:A large number of clinical trials have proved that if breast cancer is diagnosed at an early stage,it could give patients more treatment options and improve the treatment effect and survival *** on this situation,there are many diagnostic methods for breast cancer,such as computer-aided diagnosis(CAD).Methods:We complete a comprehensive review of the diagnosis of breast cancer based on the convolutional neural network(CNN)after reviewing a sea of recent ***,we introduce several different imaging *** structure of CNN is given in the second *** that,we introduce some public breast cancer data ***,we divide the diagnosis of breast cancer into three different tasks:***;***;***:Although this diagnosis with CNN has achieved great success,there are still some limitations.(i)There are too few good data sets.A good public breast cancer dataset needs to involve many aspects,such as professional medical knowledge,privacy issues,financial issues,dataset size,and so on.(ii)When the data set is too large,the CNN-based model needs a sea of computation and time to complete the diagnosis.(iii)It is easy to cause overfitting when using small data sets.

关键词： Breast cancer convolutional neural network deep learning review image modalities

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