Access the full text.
Sign up today, get DeepDyve free for 14 days.
K. Zhan, Jinhui Shi, Haibo Wang, Yuange Xie, Qiaoqiao Li (2017)
Computational Mechanisms of Pulse-Coupled Neural Networks: A Comprehensive ReviewArchives of Computational Methods in Engineering, 24
N. Otsu (1979)
A Threshold Selection Method from Gray-Level HistogramsIEEE Trans. Syst. Man Cybern., 9
Henrik Berg, R. Olsson, T. Lindblad, J. Chilo (2008)
Automatic design of pulse coupled neurons for image segmentationNeurocomputing, 71
Yanan Guo, M. Dong, Zhen Yang, Xiaoli Gao, Keju Wang, Chongfan Luo, Yide Ma, Jiuwen Zhang (2016)
A new method of detecting micro-calcification clusters in mammograms using contourlet transform and non-linking simplified PCNNComputer methods and programs in biomedicine, 130
K. Zhan, Hongjuan Zhang, Yide Ma (2009)
New Spiking Cortical Model for Invariant Texture Retrieval and Image ProcessingIEEE Transactions on Neural Networks, 20
P. Sahoo, S. Soltani, Andrew Wong (1988)
A survey of thresholding techniquesComput. Vis. Graph. Image Process., 41
Haimin Ma, Xin Cheng (2014)
Automatic Image Segmentation with PCNN Algorithm Based on Grayscale CorrelationInternational Journal of Signal Processing, Image Processing and Pattern Recognition, 7
Qi Chun-liang (2006)
Study of Automated PCNN System Based on Genetic AlgorithmComputer Simulation
Bo Yu, Liming Zhang (2004)
Pulse-coupled neural networks for contour and motion matchingsIEEE Transactions on Neural Networks, 15
X Yang, X Ye, G Slabaugh (2015)
Multilabel region classification and semantic linking for colon segmentation in CT colonographyIEEE Trans B Biomed Eng, 62
Yurun Ma, Li Wang, Yide Ma, M. Dong, Shiqiang Du, Xiaoguang Sun (2016)
An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR imagesInternational Journal of Computer Assisted Radiology and Surgery, 11
J. Noble, D. Boukerroui (2006)
Ultrasound image segmentation: a surveyIEEE Transactions on Medical Imaging, 25
Mehmet Sezgin, B. Sankur (2004)
Survey over image thresholding techniques and quantitative performance evaluationJ. Electronic Imaging, 13
Guangzhu Xu, Chunlin Li, Jingjing Zhao, B. Lei (2014)
Multiplicative decomposition based image contrast enhancement method using PCNN factoring modelProceeding of the 11th World Congress on Intelligent Control and Automation
Yuli Chen, Yide Ma, Dong Kim, Sung-Kee Park (2015)
Region-Based Object Recognition by Color Segmentation Using a Simplified PCNNIEEE Transactions on Neural Networks and Learning Systems, 26
Xiaoyun Yang, Xujiong Ye, G. Slabaugh (2015)
Multilabel Region Classification and Semantic Linking for Colon Segmentation in CT ColonographyIEEE Transactions on Biomedical Engineering, 62
Jing Lian, Yide Ma, Yurun Ma, Bin Shi, Jizhao Liu, Zhen Yang, Yanan Guo (2017)
Automatic gallbladder and gallstone regions segmentation in ultrasound imageInternational Journal of Computer Assisted Radiology and Surgery, 12
K. Zhan, Jinhui Shi, Qiaoqiao Li, Jicai Teng, Mingying Wang (2015)
Image segmentation using fast linking SCM2015 International Joint Conference on Neural Networks (IJCNN)
M. Levine, A. Nazif (1985)
Dynamic Measurement of Computer Generated Image SegmentationsIEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-7
O. Dandin, U. Teomete, O. Osman, Gokalp Tulum, T. Ergin, M. Sabuncuoğlu (2016)
Automated segmentation of the injured spleenInternational Journal of Computer Assisted Radiology and Surgery, 11
Musrrat Ali, C. Ahn, M. Pant (2014)
Multi-level image thresholding by synergetic differential evolutionAppl. Soft Comput., 17
Shahrooz Faghih-Roohi, R. Zoroofi (2013)
4D statistical shape modeling of the left ventricle in cardiac MR imagesInternational Journal of Computer Assisted Radiology and Surgery, 8
Zhen Yang, M. Dong, Yanan Guo, Xiaoli Gao, Keju Wang, Bin Shi, Yide Ma (2016)
A new method of micro-calcifications detection in digitized mammograms based on improved simplified PCNNNeurocomputing, 218
Y Ma, C Qi (2006)
Study of automated PCNN system based on genetic algorithmJ Syst Simul, 18
H. Zhuang, K. Low, W. Yau (2012)
Multichannel Pulse-Coupled-Neural-Network-Based Color Image Segmentation for Object DetectionIEEE Transactions on Industrial Electronics, 59
Ziyi Wang, Xiaojie Zhang, W. Dou, Mingyu Zhang, Hongyan Chen, Min Lu, Shaowu Li (2016)
Best Window Width Determination and Glioma Analysis Application of Dynamic Brain Network Measure on Resting-State Functional Magnetic Resonance ImagingJournal of Medical Imaging and Health Informatics, 6
Yuncong Feng, Haiying Zhao, Xiong-fei Li, Xiaoli Zhang, Hongpeng Li (2017)
A multi-scale 3D Otsu thresholding algorithm for medical image segmentationDigit. Signal Process., 60
X. Zou, Zong-jian Li (2016)
TV-Based Correction for Beam Hardening in Computed TomographyJournal of Medical Imaging and Health Informatics, 6
Abhinav Gupta, Bhuvan Gosain, S. Kaushal (2010)
A comparison of two algorithms for automated stone detection in clinical B-mode ultrasound images of the abdomenJournal of Clinical Monitoring and Computing, 24
J. Kittler, J. Illingworth (1986)
Minimum error thresholdingPattern Recognit., 19
Sang Lee, Seok Chung, Rae-Hong Park (1990)
A comparative performance study of several global thresholding techniques for segmentationComput. Vis. Graph. Image Process., 52
Y Ma, L Wang, Y Ma, M Dong, S Du, S Sun (2016)
Novel automatic segmentation of left ventricle in cardiac cine MR imagesInt J Comput Assist Radiol Surg, 11
WeiTao Zheng, Tian Pu, Jian Cheng, Hu Zheng (2012)
Image contrast enhancement by contourlet transform and PCNN2012 International Conference on Audio, Language and Image Processing
S. Hanaoka, Y. Masutani, M. Nemoto, Y. Nomura, S. Miki, T. Yoshikawa, N. Hayashi, K. Ohtomo, A. Shimizu (2017)
Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT imagesInternational Journal of Computer Assisted Radiology and Surgery, 12
Yuli Chen, Sung-Kee Park, Yide Ma, RajeshKanna Ala (2011)
A New Automatic Parameter Setting Method of a Simplified PCNN for Image SegmentationIEEE Transactions on Neural Networks, 22
A. Hareendranathan, M. Mabee, K. Punithakumar, M. Noga, J. Jaremko (2015)
A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasiaInternational Journal of Computer Assisted Radiology and Surgery, 11
Int J CARS (2017) 12:1511–1519 DOI 10.1007/s11548-017-1597-2 ORIGINAL ARTICLE An automatic segmentation method of a parameter-adaptive PCNN for medical images 1 2 3 4 1 Jing Lian · Bin Shi · Mingcong Li · Ziwei Nan · Yide Ma Received: 10 January 2017 / Accepted: 24 April 2017 / Published online: 5 May 2017 © CARS 2017 Abstract Conclusion The algorithm has a great potential to achieve Purpose Since pre-processing and initial segmentation the pre-processing and initial segmentation steps in various steps in medical images directly affect the final segmentation medical images. This is a premise for assisting physicians to results of the regions of interesting, an automatic segmenta- detect and diagnose clinical cases. tion method of a parameter-adaptive pulse-coupled neural network is proposed to integrate the above-mentioned two Keywords Parameter-adaptive pulse-coupled neural segmentation steps into one. This method has a low compu- network · Image segmentation · Optimal histogram tational complexity for different kinds of medical images and threshold · Ultrasound image · Magnetic resonance image · has a high segmentation precision. Mammogram image Methods The method comprises four steps. Firstly, an opti- mal histogram threshold is used to determine the parameter Introduction α for different kinds of
International Journal of Computer Assisted Radiology and Surgery – Springer Journals
Published: May 5, 2017
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.