Adaptive Solitary Pulmonary Nodule Segmentation for Digital Radiography Images Based on Random Walks and Sequential Filter-Reference-Cited by-同舟云学术

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Adaptive Solitary Pulmonary Nodule Segmentation for Digital Radiography Images Based on Random Walks and Sequential Filter

Published:2017 Issue: Volume:5 Page:1460-1468
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wang Dan,Wang Junfeng^ORCID,Du Yihua,Tang Peng

Funder

National Science and Technology Major Project

Provincial Key Science and Technology Research and Development Program of Sichuan, China

Ph.D. Program Foundation of Ministry of Education of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/7859429/07855681.pdf?arnumber=7855681

Cited by 5 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. Lung_RUNET: a Segmentation Framework for Lung Nodules;2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS);2023-03-17

2. Nodule segmentation of lung CT image for medical applications;Global Transitions Proceedings;2021-06

3. Solitary Pulmonary nodule segmentation based on pyramid and improved grab cut;Computer Methods and Programs in Biomedicine;2021-02

4. Volumetric lung nodule segmentation using adaptive ROI with multi-view residual learning;Scientific Reports;2020-07-30

5. Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review;Journal of Digital Imaging;2020-01-29

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