A fully automatic segmentation algorithm for CT lung images based on random forest
Author:
Affiliation:
1. Institute of EduInfo Science & Engineering Nanjing Normal University Jiangsu China
2. Department of Information Science and Engineering Zaozhuang University Shandong China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13939
Reference43 articles.
1. Automatic Lung Segmentation in CT Images with Accurate Handling of the Hilar Region
2. A fast and accurate automatic lung segmentation and volumetry method for MR data used in epidemiological studies
3. Computer analysis of computed tomography scans of the lung: a survey
4. Lung Nodule Diagnosis from CT Images Using Fuzzy Logic
5. Automated lung segmentation and smoothing techniques for inclusion of juxtapleural nodules and pulmonary vessels on chest CT images
Cited by 18 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. Image Enhancement Method for Smart Grid Visual Monitoring System;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25
2. Segmentation method of pulmonary nodules based on AC-UNET;Proceedings of the 5th International Conference on Computer Information and Big Data Applications;2024-04-26
3. An efficient combined intelligent system for segmentation and classification of lung cancer computed tomography images;PeerJ Computer Science;2024-02-27
4. Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey;Archives of Computational Methods in Engineering;2024-02-19
5. Pulmonary Nodule Segmentation Using Deep Learning: A Review;IEEE Access;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3