Multi-context 3D Resnet for Small-size False Positive Reduction in Pelvic Lymph Node Detection-Reference-Cited by-同舟云学术

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Multi-context 3D Resnet for Small-size False Positive Reduction in Pelvic Lymph Node Detection

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Pan Zhen,Huang Shuo,Wang Han,Wei Mingtian,Cui Junjie,Wang Ziqiang,Zhang Haixian

Funder

National Key Research and Development Program of China

Sichuan University

Medical Foundation

Bethune Charitable Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9669261/9669139/09669701.pdf?arnumber=9669701

Reference20 articles.

1. Multicontext 3D residual CNN for false positive reduction of pulmonary nodule detection

2. Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection[J];dou;IEEE Transactions on Biomedical Engineering,2016

3. Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

4. New Guidelines to Evaluate the Response to Treatment in Solid Tumors

5. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FAOT-Net: A 1.5-Stage Framework for 3D Pelvic Lymph Node Detection with Online Candidate Tuning;IEEE Transactions on Medical Imaging;2024

2. Multi-scale 2.5D Integrated Model for False Positive Reduction in Abdominal Lymph Node Detection;Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things;2023-05-26

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