Deep pancreas segmentation with uncertain regions of shadowed sets-Reference-Cited by-同舟云学术

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Deep pancreas segmentation with uncertain regions of shadowed sets

Published:2020-05 Issue: Volume:68 Page:45-52
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Zheng Haiyan,Chen Yufei,Yue Xiaodong,Ma Chao,Liu Xianhui,Yang Panpan,Lu Jianping

Funder

National Natural Science Foundation of China

Shanghai Innovation Action Project of Science and Technology

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

Reference29 articles.

1. Fully convolutional neural networks improve abdominal organ segmentation;Bobo,2018

2. Pancreas segmentation in mri using graph-based decision fusion on convolutional neural networks;Cai,2016

3. Three-way decision support for diagnosis on focal liver lesions;Chen;Knowl.-Based Syst.,2017

4. A bottom-up approach for pancreas segmentation using cascaded superpixels and (deep) image patch labeling;Farag;IEEE Trans Image Process,2017

5. Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images;Fu;BMC Syst Biol,2018

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