Automated diagnosis of breast ultrasonography images using deep neural networks

Author:

Qi Xiaofeng,Zhang Lei,Chen Yao,Pi Yong,Chen Yi,Lv Qing,Yi Zhang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference32 articles.

1. Combining Nakagami imaging and convolutional neural network for breast lesion classification;Byra,2017

2. Classification of breast ultrasound images using fractal feature;Chen;Clin. Imag.,2005

3. Chen, T., Li, M., Li, Y., Lin, M., Wang, N., Wang, M., Xiao, T., Xu, B., Zhang, C., Zhang, Z., 2015. Mxnet: a flexible and efficient machine learning library for heterogeneous distributed systems. arXiv:1512.01274.

4. Computer-aided diagnosis with deep learning architecture: applications to breast lesions in us images and pulmonary nodules in ct scans;Cheng;Sci. Rep.,2016

5. The global burden of cancer 2013;Fitzmaurice;JAMA Oncol.,2015

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