Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging-Reference-Cited by-同舟云学术

Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging

Published:2019 Issue: Volume: Page:146-154
ISSN:0302-9743
Container-title:Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures
language:
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Author:

Yin Shi,Peng Qinmu,Li Hongming,Zhang Zhengqiang,You Xinge,Liu Hangfan,Fischer Katherine,Furth Susan L.,Tasian Gregory E.,Fan Yong

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-32689-0_15

Reference15 articles.

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2. Sharma, K., Virmani, J.: A decision support system for classification of normal and medical renal disease using ultrasound images: a decision support system for medical renal diseases. Int. J. Ambient Comput. Intell. 8, 52–69 (2017)

3. Subramanya, M.B., Kumar, V., Mukherjee, S., Saini, M.: SVM-based CAC system for B-mode kidney ultrasound images. J. Digit. Imaging 28, 448–458 (2015)

4. Liu, S., et al.: Deep learning in medical ultrasound analysis: a review. Engineering 5, 261–275 (2019)

5. Yin, S., et al.: Subsequent boundary distance regression and pixelwise classification networks for automatic kidney segmentation in ultrasound images. arXiv preprint arXiv:1811.04815 (2018)

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