Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation-Reference-Cited by-同舟云学术

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Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation

Published:2021-10-12 Issue:4 Volume:34 Page:3151-3164
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Li Chenxin,Ma Wenao,Sun Liyan,Ding Xinghao^ORCID,Huang Yue,Wang Guisheng,Yu Yizhou

Funder

National Key Research and Development Program of China

ZheJiang Province Key Research Development Program

National Natural Science Foundation of China under Grants

Open Fund of Science and Technology on Automatic Target Recognition Laboratory

Fundamental Research Funds for the Central Universities

Tencent Open Fund

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-06578-3.pdf

Reference59 articles.

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2. AlBadawi S, Fraz MM (2018) Arterioles and venules classification in retinal images using fully convolutional deep neural network. In: Int. Conf. on Img. Anal. and Recog., Springer, pp. 659–668

3. Bi L, Kim J, Kumar A, Feng D (2017) Automatic liver lesion detection using cascaded deep residual networks. arXiv preprint arXiv:1704.02703

4. Bruno P, Zaffino P, Scaramuzzino S, De Rosa S, Indolfi C, Calimeri F, Spadea MF (2018) Using cnns for designing and implementing an automatic vascular segmentation method of biomedical images. In: International Conference of the Italian Association for Artificial Intelligence. pp. 60–70. Springer

5. Chew SK, Xie J, Wang JJ (2012) Retinal arteriolar diameter and the prevalence and incidence of hypertension: a systematic review and meta-analysis of their association. Curr Hypertens Rep 14(2):144–151

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