Convolutional neural network for breast cancer diagnosis using diffuse optical tomography  

作　　者：Qiwen Xu Xin Wang Huabei Jiang 

机构地区：[1]School of Electronic Science and Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China [2]Center for Information in Medicine,University of Electronic Science and Technology of China,Chengdu 611731,China [3]Department of Medical Engineering,University of South Florida,Tampa,FL 33620,USA

出　　处：《Visual Computing for Industry,Biomedicine,and Art》2019年第1期1-6,共6页工医艺的可视计算（英文）

基　　金：This research was supported by the University of Electronic Science and Technology of China;China Postdoctoral Science Foundation(No.2018M633347).

摘　　要：We have developed a computer-aided diagnosis system based on a convolutional neural network that aims to classify breast mass lesions in optical tomographic images obtained using a diffuse optical tomography system,which is suitable for repeated measurements in mass screening.Sixty-three optical tomographic images were collected from women with dense breasts,and a dataset of 12602D gray scale images sliced from these 3D images was built.After image preprocessing and normalization,we tested the network on this dataset and obtained 0.80 specificity,0.95 sensitivity,90.2%accuracy,and 0.94 area under the receiver operating characteristic curve(AUC).Furthermore,a data augmentation method was implemented to alleviate the imbalance between benign and malignant samples in the dataset.The sensitivity,specificity,accuracy,and AUC of the classification on the augmented dataset were 0.88,0.96,93.3%,and 0.95,respectively.

关 键 词：Diffuseopticaltomography BREASTCANCER Convolutionalneuralnetwork MACHINELEARNING Image classification 

分 类 号：R73[医药卫生—肿瘤]