DG-CNN: Introducing Margin Information into Convolutional Neural Networks for Breast Cancer Diagnosis in Ultrasound Images-Reference-Cited by-同舟云学术

DG-CNN: Introducing Margin Information into Convolutional Neural Networks for Breast Cancer Diagnosis in Ultrasound Images

Published:2022-03-31 Issue:2 Volume:37 Page:277-294
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. Technol.

Author:

Xie Xiao-Zheng,Niu Jian-Wei,Liu Xue-Feng,Li Qing-Feng,Wang Yong,Han Jie,Tang Shaojie

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11390-020-0192-0.pdf

Reference29 articles.

1. Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556, 2015. https://arxiv.org/abs/1409.1556, Nov. 2021.

2. He K, Zhang X, Ren S, Sun J. Deep residual learning for image recognition. In Proc. the IEEE Conference on Computer Vision and Pattern Recognition, June 2016, pp.770-778. DOI: https://doi.org/10.1109/CVPR.2016.90.

3. Shin S Y, Lee S, Yun I D, Lee K M. Joint weakly and semi-supervised deep learning for localization and classification of masses in breast ultrasound images. IEEE Trans. Med. Imaging, 2019, 38(3): 762-774. DOI: https://doi.org/10.1109/TMI.2018.2872031.

4. Xu X, Lu Q, Yang L, Hu S X, Chen D Z, Hu Y, Shi Y. Quantization of fully convolutional networks for accurate biomedical image segmentation. In Proc. the IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 2018, pp.8300-8308. DOI: https://doi.org/10.1109/CVPR.2018.00866.

5. Zhou Z, Shin J Y, Zhang L, Gurudu S R, Gotway M B, Liang J. Fine-tuning convolutional neural networks for biomedical image analysis: Actively and incrementally. In Proc. the IEEE Conference on Computer Vision and Pattern Recognition, July 2017, pp.4761-4772. DOI: https://doi.org/10.1109/CVPR.2017.506.

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