Novel superpixel‐based algorithm for segmenting lung images via convolutional neural network and random forest-Reference-Cited by-同舟云学术

Novel superpixel‐based algorithm for segmenting lung images via convolutional neural network and random forest

Published:2020-12 Issue:16 Volume:14 Page:4340-4348
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Liu Caixia¹²^ORCID,Pang Mingyong¹,Zhao Ruibin¹³

Affiliation:

1. Institute of EduInfo Science & EngineeringNanjing Normal UniveristyNanjingPeople's Republic of China

2. Department of Information Science and EngineeringZaozhuang UniversityZaozhuangPeople's Republic of China

3. School of Computer Science and Information EngineeringChuzhou UniveristyChuzhouAnhuiPeople's Republic of China

Funder

National Natural Science Foundation of China

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.1171

Reference45 articles.

1. Misra A. Rudrapatna M. Sowmya A.: ‘Automatic lung segmentation: a comparison of anatomical and machine learning approaches’.Proc. Int. Conf. on Intelligent Sensors Sensor Networks and Information Processing Melbourne Vic. Australia 2004

2. Lung parenchyma segmentation: fully automated and accurate approach for thoracic CT scan images;Pramod K.;IETE J. Res.,2018

3. A new hybrid approach using fuzzy clustering and morphological operations for lung segmentation in thoracic CT images;Sahu S.;Biomed. Pharmacol. J.,2017

4. Automatic lung segmentation based on image decomposition and wavelet transform;Liu C.;Biomed. Signal Proc. Control,2020

5. Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM

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. Analysis Model of Learning Chinese as a Foreign Language Based on Random Forest Algorithm;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

2. Review on Deep Learning Methodologies in Medical Image Restoration and Segmentation;Current Medical Imaging Formerly Current Medical Imaging Reviews;2023-07

3. Extreme learning machine algorithm‐based model for lung cancer classification from histopathological real‐time images;Computational Intelligence;2023-04-14

4. Research on Management Efficiency and Dynamic Relationship in Intelligent Management of Tourism Engineering Based on Industry 4.0;Computational Intelligence and Neuroscience;2022-01-22

5. Semantic segmentation of lungs using a modified U-Net architecture through limited Computed Tomography images;2021 Advanced Communication Technologies and Signal Processing (ACTS);2021-12-15